University of Michigan
Public University • US
Showing 333 courses from UMich
Programming for Everybody (Getting Started with Python)
University of Michigan (via Coursera)
Programming for Everybody (Getting Started with Python) is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in programming and data structures. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in programming and data structures, including algorithms, data structures, system design, and coding interview patterns. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 20 hours of content, designed to be completed in 2-4 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into programming and data structures Freelancers wanting to add new services to their portfolio Self-learners passionate about programming and data structures and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as Software Development Engineer (SDE), Software Engineer, Backend Developer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 15-30 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Amazon, Microsoft, Flipkart, PhonePe, Atlassian. Strong programming and DSA skills are the 1 factor in clearing technical interviews at product companies. Companies like Google, Amazon, Microsoft, Flipkart, and PhonePe all use coding rounds as their primary hiring filter. The Indian tech interview landscape typically involves 2-3 DSA rounds, 1 system design round (for experienced roles), and 1-2 behavioral rounds. Candidates who have solved 200+ quality problems on platforms like LeetCode consistently report higher interview success rates. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Python for Everybody Specialization
University of Michigan (via Coursera)
Python for Everybody Specialization is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 80 hours of content, designed to be completed in 8-16 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as Data Analyst, Business Analyst, Data Scientist, Analytics Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-8 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include TCS, Infosys, Flipkart, Amazon, Swiggy, Zomato, PhonePe. The data science industry in India is projected to grow at 27% CAGR through 2028. Companies across all sectors — from banking (HDFC, ICICI) to e-commerce (Flipkart, Amazon) to healthcare (Practo, PharmEasy) — are building data teams. India currently has a shortage of 200,000+ data professionals, making this one of the best fields to enter right now. Cities like Bangalore, Hyderabad, Pune, and Gurgaon have the highest concentration of data science jobs. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Python for Everybody Specialization
University of Michigan (via Coursera)
Python for Everybody Specialization is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in programming and data structures. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in programming and data structures, including algorithms, data structures, system design, and coding interview patterns. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 80 hours of content, designed to be completed in 8-16 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into programming and data structures Freelancers wanting to add new services to their portfolio Self-learners passionate about programming and data structures and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as Software Development Engineer (SDE), Software Engineer, Backend Developer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 6-12 LPA Mid-level / 2-5 years: Rs 15-30 LPA Senior / 5+ years: Rs 30-60 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Amazon, Microsoft, Flipkart, PhonePe, Atlassian. Strong programming and DSA skills are the 1 factor in clearing technical interviews at product companies. Companies like Google, Amazon, Microsoft, Flipkart, and PhonePe all use coding rounds as their primary hiring filter. The Indian tech interview landscape typically involves 2-3 DSA rounds, 1 system design round (for experienced roles), and 1-2 behavioral rounds. Candidates who have solved 200+ quality problems on platforms like LeetCode consistently report higher interview success rates. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
English for Career Development - University of Michigan
University of Michigan (via Coursera)
English for Career Development - University of Michigan is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in English and communication. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in English and communication, including spoken English, grammar, business writing, presentation skills, and interview preparation. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 20 hours of content, designed to be completed in 2-4 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into English and communication Freelancers wanting to add new services to their portfolio Self-learners passionate about English and communication and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as any professional role requiring strong communication. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: 20-30% salary premium over peers Mid-level / 2-5 years: 30-40% salary premium, faster promotions Senior / 5+ years: Leadership roles, client-facing positions Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include all MNCs, BPOs, IT companies, consulting firms. Communication skills are consistently rated as the 1 soft skill by Indian employers. Studies show that professionals with strong English communication earn 20-40% more than peers with similar technical abilities. In client-facing roles, consulting, and management positions, communication skills are often the differentiator for promotion. With India's growing integration into the global economy, English proficiency opens doors to international remote work opportunities. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Successful Negotiation - University of Michigan
University of Michigan (via Coursera)
Successful Negotiation - University of Michigan is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in business and finance. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in business and finance, including financial analysis, accounting, stock market investing, and project management. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Go syntax, goroutines, and channels Build concurrent programs with Go's lightweight threading model Create REST APIs and CLI tools in Go Deploy Go binaries to production servers Duration: Estimated duration: 10 hours of content, designed to be completed in 1-2 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into business and finance Freelancers wanting to add new services to their portfolio Self-learners passionate about business and finance and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as Financial Analyst, Business Analyst, Product Manager, Accountant. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 5-10 LPA Mid-level / 2-5 years: Rs 12-25 LPA Senior / 5+ years: Rs 28-55 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include banks, consulting firms, startups, Big 4 accounting firms. India's financial services sector is undergoing massive transformation with the rise of fintech, UPI, and digital banking. Financial literacy and business skills are valued across all industries, not just finance. Product managers, for instance, earn Rs 15-40 LPA and are one of the fastest-growing roles in Indian tech. Understanding business fundamentals gives you an edge regardless of your primary domain. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Web Design for Everybody Specialization - Michigan
University of Michigan (via Coursera)
Web Design for Everybody Specialization - Michigan is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in UI/UX design. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in UI/UX design, including user research, wireframing, prototyping, visual design, and usability testing. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 60 hours of content, designed to be completed in 6-12 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into UI/UX design Freelancers wanting to add new services to their portfolio Self-learners passionate about UI/UX design and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as UI Designer, UX Designer, Product Designer, UX Researcher. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-9 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Swiggy, Razorpay, CRED, Ola, Google, Microsoft. Design is one of the fastest-growing career paths in India's tech industry. The number of UX designer job postings in India has grown 300% in the last 3 years. Companies have realized that good design directly impacts revenue — Swiggy, CRED, and Razorpay attribute significant growth to their investment in UX. Unlike engineering roles, design positions often value a strong portfolio over formal degrees, making it accessible for self-taught professionals. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Web Design for Everybody - University of Michigan
University of Michigan (via Coursera)
Web Design for Everybody - University of Michigan is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in UI/UX design. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in UI/UX design, including user research, wireframing, prototyping, visual design, and usability testing. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 60 hours of content, designed to be completed in 6-12 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into UI/UX design Freelancers wanting to add new services to their portfolio Self-learners passionate about UI/UX design and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as UI Designer, UX Designer, Product Designer, UX Researcher. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-9 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Swiggy, Razorpay, CRED, Ola, Google, Microsoft. Design is one of the fastest-growing career paths in India's tech industry. The number of UX designer job postings in India has grown 300% in the last 3 years. Companies have realized that good design directly impacts revenue — Swiggy, CRED, and Razorpay attribute significant growth to their investment in UX. Unlike engineering roles, design positions often value a strong portfolio over formal degrees, making it accessible for self-taught professionals. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
English for Academic Purposes - University of Michigan
University of Michigan (via Coursera)
English for Academic Purposes - University of Michigan is a comprehensive intermediate-level resource offered by University of Michigan, focused on building practical skills in English and communication. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in English and communication, including spoken English, grammar, business writing, presentation skills, and interview preparation. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into English and communication Freelancers wanting to add new services to their portfolio Self-learners passionate about English and communication and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as any professional role requiring strong communication. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: 20-30% salary premium over peers Mid-level / 2-5 years: 30-40% salary premium, faster promotions Senior / 5+ years: Leadership roles, client-facing positions Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include all MNCs, BPOs, IT companies, consulting firms. Communication skills are consistently rated as the 1 soft skill by Indian employers. Studies show that professionals with strong English communication earn 20-40% more than peers with similar technical abilities. In client-facing roles, consulting, and management positions, communication skills are often the differentiator for promotion. With India's growing integration into the global economy, English proficiency opens doors to international remote work opportunities. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Applied Data Science with Python Specialization - Michigan
University of Michigan (via Coursera)
Applied Data Science with Python Specialization - Michigan is a comprehensive intermediate-level resource offered by University of Michigan, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 120 hours of content, designed to be completed in 12-24 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as Data Analyst, Business Analyst, Data Scientist, Analytics Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-8 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include TCS, Infosys, Flipkart, Amazon, Swiggy, Zomato, PhonePe. The data science industry in India is projected to grow at 27% CAGR through 2028. Companies across all sectors — from banking (HDFC, ICICI) to e-commerce (Flipkart, Amazon) to healthcare (Practo, PharmEasy) — are building data teams. India currently has a shortage of 200,000+ data professionals, making this one of the best fields to enter right now. Cities like Bangalore, Hyderabad, Pune, and Gurgaon have the highest concentration of data science jobs. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Applied Machine Learning in Python - University of Michigan
University of Michigan (via Coursera)
Applied Machine Learning in Python - University of Michigan is a comprehensive intermediate-level resource offered by University of Michigan, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 20 hours of content, designed to be completed in 2-4 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
UX Research and Design Specialization - University of Michigan
University of Michigan (via Coursera)
UX Research and Design Specialization - University of Michigan is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in UI/UX design. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in UI/UX design, including user research, wireframing, prototyping, visual design, and usability testing. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 80 hours of content, designed to be completed in 8-16 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into UI/UX design Freelancers wanting to add new services to their portfolio Self-learners passionate about UI/UX design and wanting structured guidance Pricing: The course content is free to access. A verified certificate is available for a fee. Completing this resource and building related skills can prepare you for roles such as UI Designer, UX Designer, Product Designer, UX Researcher. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-9 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Swiggy, Razorpay, CRED, Ola, Google, Microsoft. Design is one of the fastest-growing career paths in India's tech industry. The number of UX designer job postings in India has grown 300% in the last 3 years. Companies have realized that good design directly impacts revenue — Swiggy, CRED, and Razorpay attribute significant growth to their investment in UX. Unlike engineering roles, design positions often value a strong portfolio over formal degrees, making it accessible for self-taught professionals. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
User Experience (UX) Research and Design - University of Michigan
University of Michigan (via edX)
User Experience (UX) Research and Design - University of Michigan is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in UI/UX design. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in UI/UX design, including user research, wireframing, prototyping, visual design, and usability testing. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into UI/UX design Freelancers wanting to add new services to their portfolio Self-learners passionate about UI/UX design and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as UI Designer, UX Designer, Product Designer, UX Researcher. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-9 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Swiggy, Razorpay, CRED, Ola, Google, Microsoft. Design is one of the fastest-growing career paths in India's tech industry. The number of UX designer job postings in India has grown 300% in the last 3 years. Companies have realized that good design directly impacts revenue — Swiggy, CRED, and Razorpay attribute significant growth to their investment in UX. Unlike engineering roles, design positions often value a strong portfolio over formal degrees, making it accessible for self-taught professionals. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Applied Text Mining in Python - University of Michigan
University of Michigan (via Coursera)
Applied Text Mining in Python - University of Michigan is a comprehensive intermediate-level resource offered by University of Michigan, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Python syntax, data types, and control flow Work with lists, dictionaries, sets, and tuples effectively Build modular code using functions, classes, and modules Handle files, exceptions, and external libraries with pip Duration: Estimated duration: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
UX Research and Design - University of Michigan (FutureLearn)
University of Michigan (via FutureLearn)
UX Research and Design - University of Michigan (FutureLearn) is a comprehensive beginner-level resource offered by University of Michigan, focused on building practical skills in UI/UX design. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in UI/UX design, including user research, wireframing, prototyping, visual design, and usability testing. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 8 hours of content, designed to be completed in 1-2 weeks at a comfortable pace. No prior experience is required. This course starts from the absolute basics and gradually builds up complexity. A computer with internet access is all you need to get started. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into UI/UX design Freelancers wanting to add new services to their portfolio Self-learners passionate about UI/UX design and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as UI Designer, UX Designer, Product Designer, UX Researcher. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-9 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Swiggy, Razorpay, CRED, Ola, Google, Microsoft. Design is one of the fastest-growing career paths in India's tech industry. The number of UX designer job postings in India has grown 300% in the last 3 years. Companies have realized that good design directly impacts revenue — Swiggy, CRED, and Razorpay attribute significant growth to their investment in UX. Unlike engineering roles, design positions often value a strong portfolio over formal degrees, making it accessible for self-taught professionals. University of Michigan is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Learning Experience Design: Theories and Frameworks
University of Michigan (via Coursera)
In Theories and Frameworks, you’ll take a close look at learners and learning contexts. As you define your target audience, you’ll learn how to use learner personas as a communication tool with stakeholders and how these can be used to influence learning goals, assessments, and activities. Explore theories of learning and motivation that inform design. You’ll be introduced to learning taxonomies for defining learning outcomes, such as Bloom’s taxonomy and Fink’s Taxonomy of Significant Learning. You’ll take a closer look at design frameworks, such as Backward Design, Integrated Course Design, and the ADDIE model. Next, you’ll see examples of conceptual tools that can be used to support ideation, brainstorming, and course outlining. This course will include an immersive activity in which you’ll join learning experience design colleagues to develop, refine, and present project plans to stakeholders. By taking this course, you’ll gain experience mapping out a course design from start to finish and be well equipped to continue on in the series. For teachers in the state of Michigan: This series, "An Introduction to Learning Experience Design (LXD)," is approved in the state of Michigan for a maximum of 44.5 State Continuing Education Clock Hours (SCECHs) for teachers. The successful completion of all 3 courses in the series will be required to claim SCECHs.
Russia-Ukraine War: One Year Later Teach-Out
University of Michigan (via Coursera)
One year after Russia launched a full-scale military invasion of Ukraine, the war continues to rage throughout the country impacting millions of Ukrainians, the economy, the educational system, and everyday life. Without a clear pathway to resolution in sight, it’s more crucial than ever to seek to understand the motivations of the war and shifting global policies, learn about the impact the war has had on everyday people, and explore ways in which people around the world can take action to support Ukraine. Featuring contributors representing diverse disciplines and experiences, the intention of this Teach-Out is to reexamine the events of this past year, learn how the war has impacted global policy and various economic and social institutions in Ukraine, listen to Ukrainian citizen experiences, and discuss how learners can help support those who have been impacted by the war. This Teach-Out will answer: What implications has the war had on global policy and international relations? What role has NATO played and what is the current relationship between Ukraine and NATO? What has the past year looked like for those impacted by the war? How has foreign support been impacted over the past year? How can learners of the Teach-Out help Ukrainians?
Introduction to CSS3
University of Michigan (via Coursera)
The web today is almost unrecognizable from the early days of white pages with lists of blue links. Now, sites are designed with complex layouts, unique fonts, and customized color schemes. This course will show you the basics of Cascading Style Sheets (CSS3). The emphasis will be on learning how to write CSS rules, how to test code, and how to establish good programming habits. When done correctly, the styling of a webpage can enhance your page. When done incorrectly the result can be worse than no styling at all. To ensure that your sites do not put up barriers for people with cognitive and/or physical disabilities, you will learn how to evaluate pages using the standardized POUR accessibility guidelines. Upon completion of the course, learners will be able to sketch a design for a given HTML page. Using that design they will use CSS to implement the design by adding fonts, colors, and layouts. This is the second course in the Web Design For Everybody specialization. Subsequent courses focus on adding interaction with JavaScript and enhancing the styling with Responsive Design. It will be difficult to complete this course if you do not have access to a laptop or desktop computer for the homework.
Uso de Python para Acceder a Datos Web
University of Michigan (via Coursera)
En este curso, aprenderás cómo la Internet se puede convertir en una fuente de datos. Para esto, rasparemos, analizaremos y leeremos los datos web y también accederemos datos mediante APIs web. Trabajaremos con formatos de datos HTML, XML y JSON en Python. Este curso abarcará los capítulos 11-13 del libro de texto "Python for Everybody". Para tener éxito en este curso, debes estar familiarizado con el material que se incluye en los capítulos 1-10 del libro de texto y los dos primeros cursos de esta especialización. Estos temas incluyen variables y expresiones, ejecución condicional (bucles, ramificación y try/except), funciones, estructuras de datos de Python (cadenas, listas, diccionarios y tuplas) y manipulación de archivos. Este curso abarca Python 3.
Interactivity with JavaScript
University of Michigan (via Coursera)
If you want to take your website to the next level, the ability to incorporate interactivity is a must. But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need. With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks and movements, and even keyboard input. This course will introduce you to the basics of the JavaScript language. We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools. You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page. After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page. The class will culminate in a final project - the creation of an interactive HTML5 form that accepts and verifies input. This can be completed as the third or fourth course in the Web Design For Everybody specialization.
Data Augmented Technology Assisted Medical Decision Making
University of Michigan (via Coursera)
Artificial intelligence (AI) and machine learning (ML) have the potential to increase diagnostic accuracy, decrease diagnostic errors, and improve patient outcomes. The Data Augmented, Technology Assisted Medical Decision Making (DATA-MD) course will teach you how to use AI to augment your diagnostic decision-making. The National Academy of Medicine (NAM) recommends ensuring that clinicians can effectively use technology - including AI - to improve the diagnostic process. To use these technologies effectively in your clinical practice, you will need to determine when use of AI is appropriate, interpret the outputs of AI, read medical literature about AI, and explain to patients the role that AI plays in their care. In this course, you’ll explore the ethical considerations and potential biases when making medical decisions informed by AI/ML-based technologies. DATA-MD is a one of a kind curriculum designed to provide an introduction to the use of AI in the diagnostic process. This course was created with the needs of medical students, residents, fellows, practicing physicians, advanced practice providers, and registered nurses in mind. Others, like educators, computer programmers, and data scientists, may also find value in the course. Continuing Medical Education Information: This activity is released for CME credit on 07/30/2024 and expires 06/31/2027. The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The University of Michigan Medical School designates this enduring material for a maximum of 3.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Dr. Cornelius James and Jessica Virzi, planner and co-planner for this educational activity, have no relevant financial relationship(s) with ineligible companies to disclose. Maggie Makar, Benjamin L...
Learning Experience Design: Orientation to the Profession
University of Michigan (via Coursera)
In Orientation to the Profession, you’ll be introduced to the “big ideas” of LXD. Begin with the essential aspects of the design process, from ideation to evaluation. During this section, you’ll also take a brief look at learning theories and design frameworks that help LXDs move from an initial concept to a completed course. Examine the instructional triangle to identify productive interactions in support of learning, and understand how technology can be used throughout the design process and by learners during the course. Gain insight into the foundational ideas of inclusive design and study principles of Universal Design for Learning. Finally, you’ll hear from several learning professionals, as you situate yourself in the field and start to map your own career path. This course will include an immersive activity where you can experience what it is like to join a project team as a new learning experience designer. By participating in this orientation, you’ll gain an appreciation for the creativity and complexity of the profession, and be well-positioned to continue on in the series. For teachers in the state of Michigan: This series, "An Introduction to Learning Experience Design (LXD)," is approved in the state of Michigan for a maximum of 44.5 State Continuing Education Clock Hours (SCECHs) for teachers. The successful completion of all 3 courses in the series will be required to claim SCECHs.
قيادة الفرق
University of Michigan (via Coursera)
في هذه الدورة التدريبيّة، ستتعلم كيفية بناء فريقك، وتحسين مهارات العمل الجماعي والتعاون، والحفاظ على أداء الفريق من خلال التعلّم والتحسين المستمرّين. وعلى وجه الخصوص، ستتعلم أفضل الممارسات لتكوين فريق ومواءمة أهداف الفرد مع أهداف الفريق. وستتعلم أيضًا كيفية تحديد الأدوار، وبناء الهياكل، وإدارة عمليّة صُنع القرار، بحيث يتفوّق فريقك. وستساعدك أيضًا هذه الدورة التدريبيّة على إدارة العمليات المُهمة للفريق، مثل: تسوية النزاعات، وبناء الثقة التي تؤثّر تأثيرًا كبيرًا في أداء فريقك. ستناقش بعضًا من أفضل الطرق لتوظيف الإمكانات الإنتاجية للفرق في الوقت الذي تخفف فيه من مخاطر العمل الجماعي وفخاخه. وفي المنظمات الحديثة، تتم أغلب الأعمال في فرق، ولكن تتفاوت نتائج العمل الجماعي تفاوتًا استثنائيًّا. تفتقر العديد من الفرق إلى الإعداد والبناء السليم، حيث تعاني من نزاعات يصعُب تسويتها، وتمر بتجارب فشل في التنسيق، وتواجه تحديات خطيرة متعلّقة بالتحفيز. ومن ثم، تخفق العديد من الفرق في إدراك إمكاناتها، وغالبًا ما يضعف أداؤها، حتى أداء الأفراد الذين يعملون على مهام مماثلة. وبعد الانتهاء من هذه الدورة التدريبيّة، ستكتسب مجموعة من الأدوات والممارسات التي تُمكّنك من إعداد فريقك، وإدارته، وتقييمه بفاعليّة، وتحسينه باستمرار. وستجعلك هاتان الرؤيتان قائد فريق أكثر فاعليّة، بل مُساهمًا متميّزًا في هيكل الفريق.
Anatomy: Human Neuroanatomy
University of Michigan (via Coursera)
In this anatomy course, part of the Anatomy Specialization, you will be introduced to the central and peripheral nervous systems. You will learn about basic neuroanatomy, sensory pathways, motor pathways and the autonomic nervous system. The course includes illustrated lecture videos and quizzes to help you expand and test your knowledge of the nervous system. By the end of this course, you will have a better understanding of how the entire body influences, and is influenced, by the nervous system.
Healthcare Leadership Principles
University of Michigan (via Coursera)
Healthcare leaders across the industry strive to improve patient care, foster positive environments for their staff, and make strategic decisions that drive organizational success. In “Healthcare Leadership Principles,” get a firsthand look at the core systems, theories, and concepts essential to becoming a strong healthcare leader. This course will equip you with the foundational skills to apply leadership, teamwork, and communication, empowering you to navigate the complexities of healthcare leadership with confidence. Included in the course is an immersive, extended-reality simulation, where you will make critical decisions to help a team of mountain climbers to the top of a summit. The interactive exercise will allow you to practice the leadership skills learned throughout the course and reflect on the challenges and successes you encountered through the experience. You will also learn to discuss the important role of policy and advocacy and their impact on healthcare. By learning essential leadership skills, you’ll be able to develop your own leadership style and advance your career in healthcare management. This is the first course in the “Leadership for Healthcare Professionals” Specialization, a course series designed to help professionals in all healthcare roles sharpen their leadership skills and advance their careers.
Python Fundamentals for Designers
University of Michigan (via Coursera)
Python Fundamentals for Designers is an introduction to programming using Python meant for students interested in how programming is applied to visual applications and design. The course introduces the foundations of programming through a visual and dynamic learning environment. You’ll cover the essential building blocks of Python programming, from basic syntax and data types to more advanced concepts like control structures, functions, and inputs/outputs. Learn to build shapes and designs while implementing data structures that allow room for more complexity and depth within your projects. By the end of the course, you’ll be able to create dynamic and organic visual effects using the Processing platform with Python. This is the first course in a three-part series, Programming for Designers, aimed at equipping designers with essential computational design skills.
Introduction to HTML5
University of Michigan (via Coursera)
Thanks to a growing number of software programs, it seems as if anyone can make a webpage. But what if you actually want to understand how the page was created? There are great textbooks and online resources for learning web design, but most of those resources require some background knowledge. This course is designed to help the novice who wants to gain confidence and knowledge. We will explore the theory (what actually happens when you click on a link on a webpage?), the practical (what do I need to know to make my own page?), and the overlooked (I have the code, but how do I put it on the web to share with others?). Throughout the course there will be a strong emphasis on adhering to syntactic standards for validation and semantic standards to promote wide accessibility for users with disabilities. This course will appeal to a wide variety of people, but specifically those who would like a step-by-step description of the basics. There are no prerequisites for this course and it is assumed that students have no prior programming skills or IT experience. The course will culminate in a small final project that will require the completion of a very simple page with links and images. The focus of this course is on the basics, not appearance. This is the first course in the Web Design For Everybody specialization. Subsequent courses focus on the marketable skills of styling the page with CSS3, adding interactivity with JavaScript and enhancing the styling with responsive design.
Работа с базами данных в Python
University of Michigan (via Coursera)
В настоящем курсе рассматриваются основы структурированного языка запросов (SQL) и проектирования баз данных как отдельного этапа процесса сбора, анализа и обработки данных. В качестве системы управления базой данных в курсе используется библиотека SQLite3. Мы научимся создавать поисковых роботов, а также многоэтапные процессы сбора и визуализации данных. Для простой визуализации данных мы воспользуемся библиотекой D3.js. В данном курсе рассматриваются разделы 14–15 книги «Python для всех». Для успешного прохождения курса необходимо ознакомиться с материалами разделов учебника 1–13, а также трех первых курсов по данной специализации. В этом курсе изучается язык Python 3.
Affirmative Action in Higher Education Teach-Out
University of Michigan (via Coursera)
With the recent U.S. Supreme Court ban of the use of race-based affirmative action in college admissions, higher education institutions across the United States are grappling with what this means for their campuses and communities, especially those that must now alter their current admissions practices to comply with the ruling. This nationwide ban on affirmative action in college admissions will likely have long-lasting effects on not only the diversity of U.S. college campuses, but the diversity of professions and economic mobility. In this Teach-Out you’ll learn the historical context of affirmative action and the role it has had in college admissions, explore cases in states where affirmative action was already banned prior to the 2023 ruling, and discuss the need for colleges and community members to be a part of building equitable educational opportunities for everyone. This Teach-Out will feature contributors representing diverse disciplines and experiences in the broader higher education community. This Teach-Out will answer: What is affirmative action and what is its relations to college admissions? How does this U.S. Supreme Court ruling influence college admissions across the country? In the absence of race-based admissions, how can higher education institutions promote diversity, equity, and inclusion on their campuses, and what challenges they may face in doing so? What are the potential socioeconomic ripple effects of this ruling? How can faculty, staff, students, and community members support equitable educational opportunities for all? All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image.
Translating Research to Patients
University of Michigan (via Coursera)
The second phase of translational research — known as “T2” — assesses the value of applying discoveries to clinical practice, which leads to the development of evidence-based guidelines. This course focuses on clinical trials, the value of applying discoveries to clinical practice, and best practices for conducting research. You’ll see examples of human subjects research through clinical trials that have been translated into practice and, later, into basic scientific discoveries. You’ll also discuss the role of the federal government in supporting and regulating translational research conducted on humans. This is the third course of five in the “Translational Science” series.
Anatomy: Gastrointestinal, Reproductive and Endocrine Systems
University of Michigan (via Coursera)
In this anatomy course, part of the Anatomy Specialization, you’ll learn about the various digestive, endocrine, and reproductive organs, their functions, and pathways of nerves and blood vessels serving these organs. Clinical correlations and vignettes will be used to highlight the importance of these anatomical structures and their relationships. Images and videos from cadaveric and artistic materials will be used to illustrate these concepts.
Evaluating Designs with Users
University of Michigan (via Coursera)
When designing systems that work for users, there is no substitute for watching them try to use the system to see what works and what doesn’t. In this UX course, you will learn how to design and conduct tests with users that will tell you how effective your design is for helping users do what they need to do, and how they feel about using your system. This course is part of the User Experience (UX) Research and Design specialization offered on Coursera. What you'll learn: Identify different approaches to user testing and their appropriate use Understand how to design an effective user test Understand how to run an effective user test to get the most information possible out of each encounter Analyze and report on user testing
Python Debugging Capstone Project: Fixing and Extending Code
University of Michigan (via Coursera)
In “Python Debugging Capstone Project: Fixing and Extending Code,” you will undertake a comprehensive coding project that demonstrates your ability to use NumPy, pandas, and SciPy for advanced data manipulation and scientific computing. You will use the skills and best practices learned throughout the series to debug and analyze real-world data. This project will involve working with complex datasets, requiring you to implement data structures and handle missing data. You will engage in systematic debugging using the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – learned in the first course within the series and other advanced troubleshooting techniques. By the end of the course, you will know how to properly document your processes through clean, maintainable code notebooks.
Web Application Technologies and Django
University of Michigan (via Coursera)
In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the Hypertext Transfer Protocol (HTTP) request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the overall structure of a Django application. We will explore the Model-View-Controller (MVC) pattern for web applications and how it relates to Django. You will learn how to deploy a Django application using a service like PythonAnywhere so that it is available over the Internet. This is the first course in the Django for Everybody specialization. It is recommended that you complete the Python for Everybody specialization or an equivalent learning experience before beginning this series.
The Total Data Quality Framework
University of Michigan (via Coursera)
By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; 2. Define the three measurement dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; 3. Define the three representation dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; and 4. Describe why data analysis defines an important dimension of the Total Data Quality framework, and summarize potential threats to the overall quality of an analysis plan for designed and/or gathered data. This specialization as a whole aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. We sincerely hope to disseminate knowledge about total data quality to all learners, such as data scientists and quantitative analysts, who have not had sufficient training in the initial steps of the data science process that focus on data collection and evaluation of data quality. We feel that extensive knowledge of data science techniques and statistical analysis procedures will not help a quantitative research study if the data collected/gathered are not of sufficiently high quality. This specialization will focus on the essential first steps in any type of scientific investigation using data: either generating or gathering data, understanding where the data come from, evaluating the quality of the data, and taking steps to maximize the quality of the data prior to pe...
Estructuras de datos de Python
University of Michigan (via Coursera)
Este curso presentará las estructuras de datos básicas del lenguaje de programación Python. Veremos los conceptos básicos de la programación de procedimientos y exploraremos cómo podemos usar las estructuras de datos integrados de Python, como listas, diccionarios y tuplas, para realizar análisis de datos cada vez más complejos. Este curso abarcará los capítulos 6 a 10 del libro de texto “Python para todos”. Este curso cubre Python 3.
Building Database Applications in PHP
University of Michigan (via Coursera)
In this course, we'll look at the object oriented patterns available in PHP. You'll learn how to connect to a MySQL using the Portable Data Objects (PDO) library and issue SQL commands in the the PHP language. We'll also look at how PHP uses cookies and manages session data. You'll learn how PHP avoids double posting data, how flash messages are implemented, and how to use a session to log in users in web applications. We'll then build the first 'complete' application that has multiple screens to Create, Read, Update and Delete (CRUD) our data. This brings all the previous concepts together and will form the basis for all later web applications. It is assumed that learners have already taken the Building Web Applications course in this specialization.
Preparing for Graduate Study in the U.S.: A course for international students
University of Michigan (via Coursera)
Preparing for graduate school in the United States can be nerve-wracking. Many international students have questions about what the programs are like and what resources they can use to excel in their studies. This course allows potential and incoming international students to practice their communication skills, identify tools that support academic success, and gain confidence as they prepare for their advanced degrees. Alongside advancing your English skills, get the chance to hear from international students who have attended graduate school in the United States as they explain how they adapted to campus life, utilized resources, and fostered community on their new campus. Throughout the course, learners from across the world can connect with other students to dive deeper into course topics, discuss perspectives, and network.
Introduction to Time Value of Money (TVM)
University of Michigan (via Coursera)
The strength of finance is that it takes a structured approach to decision making, with one key building block underlying all decisions — understanding the value of time, or the Time Value of Money (TVM). In this course, we will develop this building block using introductory, and simple, applications. We will learn about the Time Value of Money (TVM), Simple Future Value (FV) , Simple Present Value (PV) , Future Value of Annuity, Loans, compounding, and Valuing Perpetuities. We will introduce the framework in a carefully structured and replicable way to prepare you to explore more advanced applications in the rest of the specialization. In the follow-on courses, we will expand the applications to more complex real-world decisions. After completing this course, you will have an understanding of how the value of money changes over time. You will understand the implications of all your financial decisions, including saving for the future through different channels and borrowing for future needs. You will leave with the practical knowledge needed to make informed decisions on a wide range of financial decisions. This course is part of the four-course Foundational Finance for Strategic Decision Making Specialization.
Python Functions, Files, and Dictionaries
University of Michigan (via Coursera)
This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course. The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. This is a follow-up to the "Python Basics" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.
Community Awareness: Negotiating for Financial Success
University of Michigan (via Coursera)
Most financial literacy courses teach you how to budget, save, invest, and manage credit. But they overlook one critical skill that determines whether you actually gain value from those decisions: negotiation. Every major financial milestone involves negotiation—buying a car, renting an apartment, negotiating a salary, or launching a business. You may understand the numbers, but without the ability to negotiate effectively, you risk leaving money and opportunity on the table. This course bridges that gap by showing you how to turn financial knowledge into financial success. In Negotiation for Financial Success, you will focus on the most important stage of any negotiation: preparation. You’ll learn how to identify your reservation price, target, stretch goal, and BATNA (Best Alternative to a Negotiated Agreement), and how to use these tools to strengthen your bargaining position. You’ll also explore ethical considerations, cross-cultural negotiations, and strategies for assessing your negotiation style. This course serves as unit one of the highly popular Successful Negotiation: Essential Strategies and Skills program, giving you a strong foundation for preparing to negotiate the deal, close the agreement, and manage performance.
Human Capital: Teams, Unions, and Change Management
University of Michigan (via Coursera)
With “Human Capital: Teams, Unions, and Change Management,” you’ll learn how to transform the way you manage teams and understand human resources. Dive into a comprehensive journey that emphasizes the importance of diversity, equity, inclusion, and belonging within the workplace and equips you with the essential tools to manage diverse teams effectively. This course uniquely bridges the gap between HR and labor relations in unionized environments, comparing and contrasting their roles to give you a holistic understanding of workplace dynamics. Additionally, you will develop innovative change management strategies grounded in contemporary HR models and theories. Learn to navigate and influence employer-employee relationships, leveraging humor and negotiation to foster a positive and productive work environment. With a focus on practical application and current industry practices, this course prepares you not just to meet but to exceed the challenges of the modern workforce. Embrace the opportunity to become a catalyst for change and a champion of inclusive, effective team management. This is the third course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.
Fitting Statistical Models to Data with Python
University of Michigan (via Coursera)
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations. This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python). During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.
Community Organizing for Social Justice
University of Michigan (via Coursera)
The course examines specific strategies for community organizing for social justice in a diverse, democratic society. It examines core concepts of social justice and practical steps for bringing people together to set goals and priorities, assess community assets and needs, develop action plans, and build support for implementation. It includes information on how to form core groups, build organizational capacity, and formulate strategy for reaching out to constituents and allies. Because each person learns in a different way, the course features a variety of learning activities, information on successful programs, individual instructions, and small group exercises, as well as hands-on materials for problem solving and program planning. You can use these activities with individuals, with a small group of people, or with several groups in a community campaign. The course draws upon work with people who are striving for community change in metropolitan Detroit, an area which is becoming both more segregated and more diverse. But it is designed for people who want to create change in communities, everywhere. If you were to take the course with ideas in mind, and conclude with plans in hand, then our purpose will be served.
Generative AI Teach-Out
University of Michigan (via Coursera)
This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward. Generative AI has developed rapidly over the last year and there is growing demand for a variety of AI tools, such as chatbots and visual media generators. For instance, ChatGPT launched in November 2022 in an effort to enhance natural language processing tasks like translation, text summarization, and text generation. Within five days of release, ChatGPT crossed 1 million users. By the two-month mark, it surpassed 100 million users. Concerns regarding the ethical implications of generative AI’s usage are emerging, particularly in business and education. This Teach-Out brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, healthcare delivery, architecture, and law to discuss the impacts of generative AI now and into the future. This Teach-Out will answer: What is generative AI and how does it work? What are the benefits and drawbacks of using generative AI? What are ethical and legal implications of using generative AI? How have society, the economy, and education responded to generative AI? How might generative AI be integrated into society moving forward? How can learners utilize generative AI in their lives? All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image.
The Power of Object-Oriented Programming
University of Michigan (via Coursera)
Object-oriented programming (or OOP) is a model that allows you to organize data by classes and objects using attributes. It’s also one of the most popular types of programming, making it an essential skill to help you better communicate with programmers in your organization. In this four-week course from the University of Michigan, you will expand your knowledge of OOP and learn how to write programs with objects from classes and how to write your own classes. You’ll also gain confidence as you learn to understand and modify larger object-oriented programs. This course has a highly stimulating and creative approach to OOP. This includes activities like creating an image collage as well as a model of a real-world object, such as a Magic 8-Ball. Through these activities, you’ll put your programming knowledge into practice using fun and innovative methods. This course will allow you to communicate and work alongside other learners along the journey. With this support, you’ll be able to use knowledge-sharing and teamwork to broaden your understanding and explore the possibilities of OOP together. This course is designed for learners interested in extending their knowledge of Python. It will also be helpful to those wishing to learn a textual programming language or for professionals who work and communicate with programmers but don’t use Python.
Understanding User Needs
University of Michigan (via Coursera)
Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design. Learners will be introduced to numerous techniques to gather data from and about users. This course is part of the User Experience (UX) Research and Design specialization offered on Coursera. What you'll learn: Find out what user needs assessments are, what qualitative research is, and how the two are related. Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology includes knowledge of semi-structured interviews, in-situ observation, and affinity walls. Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls. Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.
إلهام الأفراد وتحفيزهم
University of Michigan (via Coursera)
ستتعلم في هذه الدورة كيفية خلق رؤية مشتركة لفريقك وإيصالها بفعالية لزملائك بالفريق. ستتعلم أيضًا كيفية إرساء أهداف وتوقعات فعّالة بطريقة تعمل على تمكين فريقك على النحو الأفضل من تحقيق الرؤية المشتركة وأخيرًا، ستفهم احتياجات ودوافع الأداء الأكثر أهمية عبر الثقافات، وستتعلم كيفية المواءمة بين المكافآت والسلوكيات المنشودة بحيث يتم تحفيز زملائك على بلوغ أهداف الفريق. يُمثل التحفيز تحديًا مهمًا للغاية أمام المؤسسات المعاصرة: كشف استطلاع رأي حديث من Gallup عن أن 13% من العاملين حول العالم يظهرون مستويات عالية من الارتباط والتحفيز. سنوضح لك كيف أن مشكلات التحفيز ليست ببساطة بسبب عضو فريق "سيئ" أو "غير مُحفَّز". إن التحفيز، على العكس من ذلك، يكون مدفوًعا في المقام الأول بظروف العمل التي نوفرها لزملائنا بالفريق، وبكيفية هيكلتنا للأهداف والغايات، وبالطريقة التي نكافئ بها الأشخاص على إنجاز هذه الأهداف. ستساعدك هذه الدورة على تشخيص مشكلات التحفيز وحلّها حتى يتسنى لك إخراج أفضل ما لدى الأشخاص بفريقك.
Accounting for Decision Making
University of Michigan (via Coursera)
Through this course, you will start by addressing the two “big questions” of accounting: “What do I have?” and “How did I do over time?” You will see how the two key financial statements – the balance sheet and the income statement - are designed to answer these questions and then move on to consider how individual transactions aggregate to make up these financial statements. After developing a broad understanding of accounting and financial statements, you will begin to develop a more nuanced understanding of individual components of doing business, such as making a sale or building inventory. By considering many of the more common actions of a company, you will build your understanding of accounting, and explore these concepts by applying them across various types of transactions. Once you understand these individual concepts better, you will be ready to return to the overall financial statements and use them as informational tools, including building ratios. You can do this course standalone or to qualify for the residential component of the Finance for Strategic Decision-Making Executive Education program. For more information, see the FAQ below.
People, Technology and the Future of Mobility
University of Michigan (via Coursera)
Welcome to the People, Technology, and the Future of Mobility course! This course provides a lay-person’s introduction to some of the major technological innovations currently underway in the mobility space and asks learners to apply a variety of social science concepts to understand the likely social impacts of these technologies. The course is appropriate for learners from all backgrounds and does not require prior training in engineering or social science. The content presented in this course draws on a number of interviews and lectures and was created through a partnership with Siemens. The course also includes an interactive 360 video experience that allows learners to explore the key components of an autonomous vehicle, go on a ride-along in an autonomous car, and learn about new sensing technology we could see in smart cities of today and tomorrow. This course challenges learners to envision mobility of the future that is safer, cleaner, and more equitable. We will examine recent technological advances, as well as the socio-economic and policy implications, of two major evolving mobility-related technology spaces: electrification and automation.
Esports: Leveling Up Teach-Out
University of Michigan (via Coursera)
Explore the growing competitive gaming phenomenon that has changed the lives of millions of gamers and non-gamers alike while challenging the concept of a sport. In this Teach-Out. you'll join a conversation about the history of esports as well as gain an understanding of who participates in esports, how esports teams are formed, and how competitive gameplay works. Hearing directly from competitive players, leaders of collegiate esports programs, and industry insiders, you'll explore the societal impact of esports and look ahead to the future of the industry. This Teach-Out will answer: How has competitive gaming evolved into the current esports phenomenon, and who are the key players involved? What does it take to form a successful esports team and prepare for professional-level gameplay? In what ways does esports influence societal trends, and what are the challenges and opportunities for inclusivity in gaming? What can we expect for the future of esports in terms of technology, audience engagement, and industry growth?
Internet History, Technology, and Security
University of Michigan (via Coursera)
The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today. What You Will Learn: After this course you will not take the Internet and Web for granted. You will be better informed about important technological issues currently facing society. You will realize that the Internet and Web are spaces for innovation and you will get a better understanding of how you might fit into that innovation. If you get excited about the material in this course, it is a great lead-in to taking a course in Web design, Web development, programming, or even network administration. At a minimum, you will be a much wiser network citizen.
Exploring Generative AI for Learning Design
University of Michigan (via Coursera)
With “Exploring Generative AI for Learning Design,” you will learn how to use generative AI as a partner in learning design. Throughout the course, we will explore how to incorporate generative AI into several design frameworks. By focusing on the key stages of the learning design process, you can identify areas where generative AI might be most helpful or impactful as you design a learning experience. Explore ways you can use generative AI to help you brainstorm new ideas, create learner personas, draft course outlines, and more. As you reach the end of the course, you will learn how to use generative AI within your own instructional design process. This is the first course in the series "Generative AI as a Learning Design Partner," which introduces generative AI to the learning design process to support the creation of engaging instructional design. For educators in the state of Michigan: This series, "Generative AI as a Learning Design Partner," is approved in the state of Michigan for a maximum of 15 State Continuing Education Clock Hours (SCECHs) for educators. The successful completion of all 3 courses in the series will be required to claim SCECHs.
From Sleep Disorders to Sleep Health
University of Michigan (via Coursera)
Healthy sleep is essential to good physical and mental health. If you or someone you know has ever struggled with sleep, daytime alertness, or has recently been diagnosed with a sleep disorder, From Sleep Disorders to Sleep Health can be a helpful guide. In this course, you’ll explore the importance of sleep and the barriers that can prevent effective sleep. You will learn how sleep needs, functions, and vulnerabilities can differ dramatically across the human lifespan, from childhood to adulthood. Take a closer look at how specific sleep problems affect diverse populations as defined by gender, race, ethnicity, environment, or common health conditions. Finally, you’ll examine the main types of sleep disorders, from symptoms and testing to diagnosis and treatment. From Sleep Disorders to Sleep Health should appeal to anyone interested in sleep as one of the main pillars of health and wellness, providing insight into one of the most prominent aspects of our lives.
Exploring C
University of Michigan (via Coursera)
The C programming language is heavily influential in the world of coding and helps run some of the most powerful computer programs in the world. In Exploring C, examine the historical context and impact of C on the development of programming over the past 50 years. In this course, you’ll compare and contrast C with the programming language Python, review how to code in C and gain an understanding of the nuances of computer programming.
Social Determinants of Health
University of Michigan (via Coursera)
This is an introductory course on social determinants of population health with a focus on the United States. The course will introduce you to, or reinforce your knowledge of, issues related to health that consider behavioral, psychological and structural factors in population health beyond the healthcare system. We will examine social, economic, and political factors that contribute to health inequalities and suggest innovative ways to reduce disparities in health when the goal is to achieve health equity. This course will increase your awareness, knowledge, and understanding of issues related to behavioral, psychological, and structural factors that contribute to understanding population health and health inequities. We will discuss conceptual and methodological issues key to health professionals working towards achieving health equity to reduce health disparities at multiple levels of influence. There will be opportunities to practice skills involving cultural humility, deliberative dialogues and professional self-assessments. By the end of this course, you will be able to: Discuss the means by which structural bias, social inequalities and racism undermine health and create challenges to achieving health equity at organizational, community and societal levels
Answering Interesting Questions with Data
University of Michigan (via Coursera)
There is a huge amount of raw data available on the internet with endless potential. This four-week course from the University of Michigan will help you learn how to read data in different formats and write programs to scrape data from the internet. Once you complete this course, you’ll be empowered with the ability to use data to answer high-level and interesting questions. An essential component of data collection and analysis is the ability to store and manage the data effectively once you’ve retrieved it. You’ll learn how to use SQL to manage data in relational databases in order to create linked datasets and gain insight into the relationships and meaning that can be derived from your data. Data is a powerful tool, but its potential can only be unleashed once it is converted and represented as logical information. This process is referred to as data visualization, and it is key to understanding and analyzing data. You’ll be taught to use charts, scatter plots, graphs, and other mediums in order to transform your data into valuable information that can be used to answer interesting questions. This course is designed for learners who are interested in extending their Python knowledge, learning a textual programming language, or who would like to be able to communicate with programmers in a professional setting.
Introduction to Translational Science
University of Michigan (via Coursera)
Translational science is the process of turning observations in the laboratory, clinic, and community into interventions that improve the health of individuals and populations. In this course, you’ll learn about the role of translational research in moving scientific discoveries into applications for improving human health. With an understanding of the four stages of translational research, you’ll be able to assess team roles for each stage and explain the importance of rigorous research, responsible conduct of research, and the differences between them. Finally, you’ll learn about career opportunities within the in-demand field of translational research. This is an ideal introduction for undergraduate or graduate students interested in the practical application of their research to improve the health of their community. This is the first course of five in the “Translational Science” series.
Ethics in Engineering
University of Michigan (via Coursera)
Explore unique case studies in engineering ethics. In this four-week course, you’ll examine different historical case studies and understand how they led to classic engineering failures. Though each case is unique and has a distinct context, they all share common themes; a backstory, a disastrous event, a post-event with ramifications, and outcomes. For each case, you’ll watch and hear video lectures and explore foundational literature. You’ll also have the opportunity to discuss the case in detail and check your knowledge through quizzes and reflections on your understanding of the case. This format will help you develop a working knowledge of ethical foundations. Delve into four case studies, including the VW emissions scandal, the failure of the Denver airport baggage system, the fatal case of the Therac 25 radiation machine, and the software failure of the Ariane 5 rocket launch. With each case, you’ll identify key aspects that led to the engineering failures and discuss the outcomes of the failures. You’ll also explore the significance of each case and how they led to corrective actions. Develop your knowledge of engineering alongside experts in the industry. The course will help you reflect on engineering as a design discipline and its impact on humans. You’ll be guided by Dr. David Chesney, an expert in both industry and academics with 20 years of experience at General Motors Corporation and 20 years working at the University of Michigan. Dr. Chesney’s background is in Mechanical Engineering, Biomedical Engineering, and Computer Science and he is the Toby Teorey Collegiate Lecturer in Electrical Engineering and Computer Science at the University of Michigan College of Engineering. This course will be particularly useful for engineering students and professionals, although no prior experience is required.
Leveraging GenAI to Develop Critical Thinking Skills
University of Michigan (via Coursera)
Our brains process more information each day than any generation in history, making critical thinking one of the most valuable skills we can develop. This course invites you to strengthen your ability to use critical thinking skills and make sound decisions by adopting generative artificial intelligence to support and enhance your reasoning processes. By implementing the practical, actionable framework presented in this course, you’ll discover how AI can help unpack complex ideas, highlight hidden assumptions, and facilitate the confidence and clarity of considering multiple perspectives. This course will help you strengthen your ability to evaluate, assign meaning to, discount, or reject information from a wide range of public and private sources, and better make informed decisions in both your professional and personal life.
Human Capital: Foundations and Essentials
University of Michigan (via Coursera)
Unlock the potential of your HR career with “Human Capital: Foundations and Essentials.” Dive into the evolution of HR roles, from traditional titles like Personnel Director to modern designations such as Human Capital Manager and People Operations Leader. This course equips you with the skills to evaluate and implement effective communication and leadership strategies that span the entire people space. Throughout the course, you’ll analyze and reflect on mini-case studies based on real-world scenarios to bridge course content with your own professional experiences. Explore the legal and strategic aspects of HR as you transition from conventional methods to contemporary practices that prioritize employee engagement, well-being, and workforce development. With an overview of the Human Capital Management Framework and its implications on beliefs, values, and health and safety, this course ensures you are well-rounded in the fundamental and cutting-edge elements of human capital management. Immerse yourself in this dynamic field and emerge with the expertise to drive meaningful change in your organization. This is the first course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.
The Basics of Rocket Science
University of Michigan (via Coursera)
Why are rockets so big? Is there gravity in space? How does a rocket engine even work? In this course, you’ll explore the major concepts of rocket science, including orbital dynamics, velocity, and different types of engines that help propel a rocket out of Earth’s atmosphere. Determine how rocket scientists use formulas and Newton’s laws to propel rockets off the ground and accelerate them to their destination. Explore how and why rockets have stages, including how rocket scientists choose between solid and liquid engines for rockets. With The Basics of Rocket Science, you’ll even get an inside look at how we might get humans to Mars, an advancement in rocket science that could change humanity's future.
Menschen, Technologie und die Zukunft der Mobilität
University of Michigan (via Coursera)
Willkommen zum Kurs „Der Mensch, die Technik und die Zukunft der Mobilität“! Dieser Kurs bietet eine allgemeinverständliche Einführung in einige der wichtigsten technologischen Innovationen, die derzeit im Bereich der Mobilität entwickelt werden. Die Lernenden sollen eine Reihe von sozialwissenschaftlichen Konzepten anwenden, um sich die wahrscheinlichen gesellschaftlichen Auswirkungen dieser Technologien bewusst zu machen. Der Kurs ist für Lernende aller Fachrichtungen geeignet und setzt keine Vorkenntnisse in Ingenieur- oder Sozialwissenschaften voraus. Die in diesem Kurs präsentierten Inhalte basieren auf einer Reihe von Interviews und Vorträgen und wurden in Zusammenarbeit mit Siemens entwickelt. Der Kurs beinhaltet auch ein interaktives 360°-Videoerlebnis, das es den Lernenden ermöglicht, die Schlüsselkomponenten eines autonomen Fahrzeugs zu erkunden, eine Mitfahrt in einem autonomen Auto zu unternehmen und etwas über neue Sensortechnologien zu erfahren, die wir in den intelligenten Städten von heute und morgen sehen könnten. Während des Kurses sollen die Lernenden sich eine Mobilität der Zukunft vorstellen, die sicherer, sauberer und gerechter ist. Wir werden die jüngsten technologischen Fortschritte in zwei wichtigen mobilitätsbezogenen Technologiebereichen untersuchen, die sich kontinuierlich weiterentwickeln: Elektrifizierung und Automatisierung. Dabei werden wir auch auf die sozioökonomischen und politischen Folgen eingehen.
Negociación exitosa: Estrategias y habilidades esenciales (en español)
University of Michigan (via Coursera)
Todos negociamos diariamente. A nivel personal, negociamos con amigos, familia, propietarios, vendedores de autos y empleadores, entre otros. La negociación también es la clave del éxito comercial. Ninguna empresa puede sobrevivir sin contratos rentables. Dentro de una empresa, las habilidades de negociación lo pueden llevar a avanzar en su carrera. En este curso, aprenderá y practicará los cuatro pasos necesarios para lograr una negociación exitosa, con un módulo para cada paso: (1) Preparación: Planifique su estrategia de negociación (2) Negociación: Use las tácticas claves para el éxito (3) Cierre: Cree un contrato (4) Cumplimiento y evaluación: El juego final Para completar exitosamente este curso y mejorar su capacidad de negociar, deberá completar los tres pasos siguientes: (1) Mire los videos breves (que van de 5 a 20 minutos) de cada módulo. Los videos son interactivos e incluyen preguntas para evaluar su entendimiento de las estrategias y habilidades de negociación. Los videos se pueden acelerar o ralentizar para adaptarse al ritmo que prefiera escucharlos. Según sus horarios, puede ver los videos en unas semanas o verlos todos juntos. Un estudiante que vio el curso de una sola vez concluyó que "es tan bueno como Breaking Bad". (2) Complete la negociación del Módulo 6 para evaluar sus capacidad de negociación. Puede negociar con un amigo local o usar los Debates para encontrar un socio de otra parte del mundo. Su socio de negociación le brindará una devolución sobre sus capacidad de negociación. En el camino, puede resultarle útil utilizar esta aplicación móvil gratuita que está relacionada con el curso y contiene varias herramientas de planificación de la negociación. http://negotiationplanner.com/ (3) Tome el examen final. Para completar el curso exitosamente, debe responder correctamente el 80 % de las preguntas. Este examen es un examen de dominio, lo que significa que puede tomarlo las veces que quiera hasta que domine el material. Además,...
Structural Racism: Causes of Health Inequities in the U.S.
University of Michigan (via Coursera)
Racial health disparities - differences in health outcomes based on race - are rampant in the U.S., and many incorrectly assume these are due to differences in behavior or genetics. To understand these differences, and ultimately identify solutions to eliminate these disparities, we need to dig deeper and look at the root causes. We need to examine how our socio-political institutions have racial inequities embedded within their policies and practices. We need to re-examine history to learn how and why race was created and how it was used to advance the interests of whites. We need to examine how state violence is selectively used to reinforce racial inequities. Learners in this course will be guided through these examinations in order to gain a deeper understanding of why health disparities exist in the U.S. and what will be necessary to eliminate these disparities. Answering questions pertaining to course materials will give learners the opportunity to self-reflect in an effort to deepen their thinking about health inequities. Additionally, course assignments will give learners the opportunity to practice advocacy skills through the creation of writing products intended to convince decision-makers to change their perspective. To fix the problem we need to accurately diagnose it, and this course will help learners diagnose the root causes of the problem. By the end of this course, learners will be able to: Describe the impact of structural racism on individuals. Identify policies and events that shaped current racial health inequities. Discuss how historical events contributed to current racial health inequities. Describe how inequities in institutions like schools, businesses, and policing contribute to current racial health inequities. Apply public writing strategies to work against racial inequities in health.
Applied Unsupervised Learning in Python
University of Michigan (via Coursera)
In “Applied Unsupervised Learning in Python,” you will learn how to use algorithms to find interesting structure in datasets. You will practice applying, interpreting, and refining unsupervised machine learning models to solve a diverse set of problems on real-world datasets. This course will show you how to explore unlabelled data using several techniques: dimensionality reduction and manifold learning for condensing and visualizing high-dimensional data, clustering to reveal interesting groups and outliers, topic modeling for summarizing important themes in text, methods for dealing with missing data, and more. This course also covers best practices associated with different techniques, as well as demonstrating how unsupervised learning can be used to improve supervised prediction. This is the second course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the Applied Data Science with Python specialization prior to beginning this course.
Introduction to Cataract Surgery
University of Michigan (via Coursera)
This comprehensive course will give you the fundamental knowledge needed to begin performing cataract surgery by phacoemulsification and extracapsular removal. Each step from preoperative evaluation to postoperative care will be covered to help prepare you for the operating room.
Writing and Editing: Revising
University of Michigan (via Coursera)
This fourth and final course in the “Good with Words: Writing and Editing” series will help you master perhaps the most important step in the writing process: revising. You’ll learn about the difference between editing and proofreading. You’ll practice “un-numbing the numbers” so that data and statistics you use are clear and compelling. And you’ll be introduced to a framework for giving and receiving feedback that helpfully systematizes what should be cut and what should be kept from each draft. As with the other three courses in this series, you will also get access to a wide range of books and other resources you can use even after you finish the course. These include: (1) the readings and exercises provided to the students who have taken the in-person version of this course at the University of Michigan and the University of Chicago; (2) two digital libraries of excellent writing from a diverse collection of journalists, scientists, novelists, poets, historians, and entrepreneurs; and (3) a monthly “Good Sentences” email.
Introduction to 3D Printing with Metals
University of Michigan (via Coursera)
3D printing with metals is revolutionizing manufacturing, engineering, and artistry. In “Introduction to 3D Printing with Metals,” you’ll learn about the essential elements of the technology, and how it can be applied to a range of use cases. Designed for broad relevance to professionals, hobbyists, and students alike, the course provides essential information about methods of printing using metals, how they work, their advantages and limitations, and most importantly, their practical applications. From basic, desktop forms of 3D printing with metals to more complex processes, like powder bed fusion and jetting-based projects, you will learn about 3D metal printing through examples and interviews with industry experts. You’ll also gain hands-on experience with 3D printing within a smartphone or desktop-accessible augmented reality experience. The content presented in this course draws on a number of interviews with industry experts and was created through a partnership with Siemens. With this course, you’ll gain a broad understanding of how 3D printing with metals can help you realize your creative vision or enhance your career.
Series Orientation: Transforming Education
University of Michigan (via Coursera)
Series Orientation welcomes learners to the Transforming Education series, introduces Self-Directed/Community-Supported Learning as our core instructional design, and positions learners for success as aspiring change agents.
Community Awareness: Police Brutality in the U.S.
University of Michigan (via Coursera)
The tragic deaths of George Floyd, Breonna Taylor, and Ahmaud Arbery have sparked a wave of renewed protests against police brutality across the United States. These nationwide uprisings have transformed into an intense interest from the public around understanding systemic racism and abuse of power. Millions of Americans and people around the world are watching incidents of police violence and excessive force captured on video, but are looking to learn about the inequalities at the root of these incidents. While the calls of Black Lives Matter protesters to DefundThePolice are being heard for the first time by many Americans, they are part of a longstanding effort by communities and activists to reinvest in communities rather than policing and prisons. In this course, you will learn about the history of police violence in America, become aware of laws and policies that prevent accountability, understand the demands of protesters, and gain the knowledge and tools to fight for change locally. The content for this Community Awareness course is adapted from a Teach-Out launched in July of 2020 from experts from across the United States involved in activism, social work, law, government, and higher education.
Generative AI: Governance, Policy, and Emerging Regulation
University of Michigan (via Coursera)
In “Generative AI: Governance, Policy, and Emerging Regulation,” you’ll discuss governance considerations for generative artificial intelligence (AI) systems deployed in an organization and explore data management practices, transparency methods, risk and impact assessments, and management approaches that ensure generative AI is developed and deployed responsibly. The course also provides an overview of the current generative AI policy and regulatory landscapes within the United States, European Union, and G7 countries. By exploring governance issues and the current regulatory landscape regarding AI, you’ll gain a deeper understanding of how to integrate, manage, and monitor AI within your organization.
مقدمة عن CSS3
University of Michigan (via Coursera)
لا يمكن التعرف على الويب اليوم تقريبًا منذ الأيام الأولى لاستخدام white pages مع قوائم blue links. الآن، صُممت المواقع بتصميمات معقدة للصفحات وخطوط فريدة وأنظمة ألوان مخصصة. سيوضح لك هذا المساق أساسيات أوراق الأنماط المتتالية (CSS3). سيكون التركيز على تعلم كيفية كتابة قواعد CSS ، وكيفية اختبار الرمز، وكيفية إنشاء عادات برمجة جيدة. عندما يتحقق بشكل صحيح، يمكن أن يؤدي تصميم صفحة الويب إلى تطوير صفحتك. عند القيام بذلك بطريقة غير صحيحة، قد تكون النتيجة أسوأ من عدم وجود تصميم على الإطلاق. . للتأكد من أن مواقعك لا تضع حواجز أمام الأشخاص ذوي الإعاقات المعرفية و / أو الجسدية، سوف تتعلم كيفية تقييم الصفحات باستخدام إرشادات POUR الموحدة لإمكانية الوصول . عند الانتهاء من المساق، سيتمكن المتعلمون من رسم تصميم لصفحة HTML معينة. بفضل استخدام هذا التصميم، سيستخدمون CSS لتنفيذ التصميم عن طريق إضافة الخطوط والألوان وتصميم الصفحات. يُعد هذا المساق الثاني في تخصص تصميم مواقع الويب للجميع. تركز المساقات اللاحقة على زيادة التفاعل مع جافا سكريبت وتطوير التصميم باستخدام التصميم سريع الاستجابة. قد يصعب إكمال هذا المساق إذا لم يكن لديك جهاز حاسوب محمول أو حاسوب مكتبي لأداء الواجب المنزلي.
Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding
University of Michigan (via Coursera)
Consider the benefits and challenges of disruptive capital-raising technology. Advances in technology have both systematized and democratized consumers’ and business’ access to capital. In this course, you will explore the ways in which technology has transformed access to consumer credit and access to seed capital for business projects. You will examine disruptive technologies in credit scoring, raising capital through tokenization, and the evolution of crowdfunding for both debt and equity financing. You will also learn how to differentiate between crypto-based capital-raising models.
Rocket Science in Everyday Life
University of Michigan (via Coursera)
We encounter the results of rocket science all the time; from weather prediction to GPS navigation, rocket science has helped navigate our world in new, innovative ways. Rocket Science in Everyday Life explores innovations in rocket science, including the formation of space agencies, like NASA and the European Space Agency, that work to advance rocket science. Learn how satellites are used to track climate changes across the globe and how rockets have taken us to worlds beyond our own. Examine the scientific motivations and methods for planetary exploration to see beyond our solar system. End the course with some cinematic magic and examine how movies and TV use rocket science to create exciting worlds - even if they don’t always get the science behind it right.
Uso de bancos de dados com Python
University of Michigan (via Coursera)
Este curso apresentará aos alunos os conceitos básicos da Linguagem de Consulta Estruturada (SQL), bem como o design básico do banco de dados para armazenar dados como parte de um esforço de coleta, análise e processamento de dados em várias etapas. O curso usará o SQLite3 como banco de dados. Também criaremos rastreadores da Web e processos de coleta e visualização de dados em várias etapas. Usaremos a biblioteca D3.js para fazer a visualização básica de dados. Este curso abordará os capítulos 14 e 15 do livro “Python para Todos”. Para ter êxito neste curso, você deve estar familiarizado com o material abordado nos capítulos 1 a 13 do livro e os três primeiros cursos desta especialização. Este curso aborda o Python 3.
مقدمة عن لغة HTML5
University of Michigan (via Coursera)
يبدو الأمر كما لو أنه باستطاعة الجميع إنشاء موقع ويب وذلك بفضل وجود عدد متزايد من البرامج التي تستخدم البرمجيات. ولكن ماذا لو كنت تود فعلًا معرفة طريقة إنشاء الصفحة؟ توجد كتب دراسية ومصادر إلكترونية جيدة لتعلم تصميم مواقع الويب ولن غالبية هذه المصادر تستلزم وجود قليل من المعرفة السابقة. هذا المساق مُصمم بغية مساعدة الشخص المبتدئ الذي يود اكتساب الثقة وجني المعرفة. سنعمل على اكتشاف الفكرة (ماذا يحدث فعلًا عندما تنقر على رابط في صفحة ويب ما؟ والجزء العملي (ما الذي يلزمني لإنشاء صفحة ويب خاصة بي؟) والجزء الذي يتم إغفاله (لدي صحفة، ما الذي سأفعله الآن؟). سينصب التركيز بشِدة طيلة المساق على التقيد بالمعايير النحوية لأغراض التحقق والمعايير الدلالية لتشجيع إمكانية الوصول على نطاق واسع بالنسبة للمستخدمين من ذوي الهِمم. الكتاب الدراسي الذي نستخدمه متوفر على شبكة الإنترنت، "الرابط المفقود": مقدمة عن تصميم مواقع الويب وبرمجتها من قبل "مايكل مينديز" من موقع www.opensuny.org. سيروق هذا المساق لطائفة كبيرة من الأشخاص، لا سيما أولئك الراغبين في تلقي وصفٍ مستفيضٍ عن المبادئ. لا توجد أي شروط لهذا المساق ويُفترض أن الطلاب يفتقرون إلى مهارات سابقة في مجال البرمجة أو خبرة سابقة في مجال تكنولوجيا المعلومات. سيُختتم هذا المساق بمشروع نهائي صغير يستلزم إنجاز صفحة بسيطة جدًا بها روابط وصور. ينصب تركيز هذا المساق على المبادئ وليس الشكل. بإمكانك الاطلاع على عيّنة صفحة نهائية على رابط http://intro-webdesign.com/html5-plain.html. وهذا هو المساق الأول في تخصص تصميم مواقع الويب للجميع. ينصب تركيز المساقات التالية على المهارات الرائجة لتصميم صفحة بلغة CSS3 وإضافة عملية التفاعل من خلال استخدام لغة البرمجة جافا سكريبت وتعزيز عملية إعداد الأنماط عن طريق استخدام التصميم سريع الاستجابة. بإمكانك الاطلاع على عينة موقع لأجل المساق المتقدم على رابط http://intro-webdesign.com/
Moneyball and Beyond
University of Michigan (via Coursera)
The book Moneyball triggered a revolution in the analysis of performance statistics in professional sports, by showing that data analytics could be used to increase team winning percentage. This course shows how to program data using Python to test the claims that lie behind the Moneyball story, and to examine the evolution of Moneyball statistics since the book was published. The learner is led through the process of calculating baseball performance statistics from publicly available datasets. The course progresses from the analysis of on base percentage and slugging percentage to more advanced measures derived using the run expectancy matrix, such as wins above replacement (WAR). By the end of this course the learner will be able to use these statistics to conduct their own team and player analyses.
Creative Coding for Designers Using Python
University of Michigan (via Coursera)
Creative Coding for Designers Using Python,marks the final installment in the comprehensive three-course specialization, aimed at significantly enhancing the programming capabilities of designers, artists, and visual thinkers through Python. As the advanced course in the series, Creative Coding for Designers Using Python adopts a project-based learning strategy to consolidate and apply the skills acquired from the first two courses. In this course, you’ll focus on dynamic simulations and procedural content generation, offering a deeper dive into Python's application in visual design and digital art. Designed for individuals who have grasped the basics of Python, including its syntax, data structures, and object-oriented programming principles, this course delves into sophisticated topics. Leveraging the Processing platform with Python, you’ll engage in interactive projects that transform theoretical knowledge into tangible outputs, bridging the gap between technical proficiency and artistic creativity. Creative Coding for Designers Using Python is structured as an educational journey that combines technology and art, equipping participants with the skills to explore advanced digital design techniques. This course offers the tools and conceptual understanding necessary for the innovative application of Python in creating digital art and design projects. This is the third and final course in a three-part series, Programming for Designers, aimed at equipping designers with essential computational design skills.
Healthcare Strategy and Innovation
University of Michigan (via Coursera)
“Healthcare Strategy and Innovation” dives deep into strategic planning, innovation, and informatics in healthcare, giving you the tools to drive organizational success. You'll master key concepts like defining mission, vision, and values and learning to differentiate strategic planning from other types of planning. Throughout the course, you’ll learn to produce innovative outcomes for your teams and patients by aligning strategies with your organization’s core values and your proposals. Essential business tools covered include SWOT analysis, balanced scorecards, dashboards, value-based assessments, and strategic planning templates. Explore healthcare innovation principles, focusing on health informatics to implement cutting-edge innovations. Through applied learning and strategic communication, you'll sharpen your ability to question, plan, and innovate effectively in the healthcare sector. This is the second course in “Leadership for Healthcare Professionals” Specialization, a course series designed to help professionals in all healthcare roles sharpen their leadership skills and advance their careers.
Making Successful Decisions through the Strategy, Law & Ethics Model
University of Michigan (via Coursera)
Successful decision making is based on three key pillars: strategy, law and ethics. After taking this course you will be able to use a practical framework based on these three elements to make successful business, personal and leadership decisions. This course opens with an example of a leadership decision: President Barack Obama’s strategic decision to capture or kill Osama bin Laden. The course then shows how the three elements can be used to prevent a tragedy when making a personal decision. The rest of the course focuses on making successful business decisions. In essence, to achieve business and career success, you must create value (strategy) and manage risk (law) in a responsible manner (ethics). Because the Law Pillar plays a central role in the three pillar model, the course includes practical legal briefings (with many examples) on the key elements of business success. Specifically, the course shows you how to: • attract the best employees, • develop successful products, • create new business models, • protect intellectual property, • create contracts that achieve business goals, and • use dispute resolution processes that improve business relationships. Using a global perspective, the course also provides an introduction to international business culture for learners from the United States, and an introduction to the U.S. business culture for learners from outside the U.S.
파이썬의 응용 소셜 네트워크 분석
University of Michigan (via Coursera)
이 과정은 NetworkX 라이브러리를 사용한 튜토리얼을 통해 학습자에게 네트워크 분석을 소개합니다. 과정 처음에는 네트워크 분석이란 무엇인지, 왜 현상을 네트워크로 모델링할 수 있는지를 파악합니다. 두 번째 주에는 연결성과 네트워크 견고성의 개념을 소개합니다. 세 번째 주에는 네트워크에서 노드의 중요성 또는 중심성을 측정하는 방법을 탐구합니다. 마지막 주에는 시간 경과에 따른 네트워크의 진화를 탐구하고 네트워크 생성 모델과 링크 예측 문제를 다룹니다. 이 과정을 시작하려면 먼저 다음을 수강해야 합니다. 파이썬의 데이터 과학 입문, 파이썬의 응용 플로팅, 차트 및 데이터 표현, 파이썬의 응용 머신 러닝.
Inspiração e motivação de indivíduos
University of Michigan (via Coursera)
Neste curso, você aprenderá como criar uma visão compartilhada para sua equipe e como comunicá-la de forma eficaz aos seus colegas. Você também aprenderá como definir metas e expectativas eficazes de forma a melhor permitir que sua equipe alcance a visão compartilhada. Por fim, você entenderá as necessidades e os fatores de desempenho mais importantes entre culturas e aprenderá a alinhar as recompensas com os comportamentos desejados para que seus colegas sejam motivados a atingir os objetivos da equipe. A motivação representa um desafio crucial para as organizações contemporâneas: Uma pesquisa recente da Gallup revelou que apenas 13% dos trabalhadores em todo o mundo exibem altos níveis de engajamento e motivação. Vamos mostrar por que esses problemas de motivação não acontecem apenas devido a um membro da equipe que seja “ruim” ou esteja “desmotivado”. Em vez disso, a motivação é fortemente impulsionada pelas condições de trabalho que criamos para nossos colegas de equipe, a forma como estruturamos metas e objetivos e como recompensamos as pessoas pela realização dessas metas. Este curso ajudará você a diagnosticar e resolver problemas de motivação para que possa trazer o melhor de seu pessoal.
Speaking and Presenting: Tact
University of Michigan (via Coursera)
To be an effective speaker you don’t need to overwhelm people with your intellect. You don’t need to dazzle them from start to finish. You simply need to give them the sense that what they are receiving was especially prepared with their interests and needs in mind. This course will help you develop the judgment and dexterity needed to craft a perfectly tailored message.
Black Performance as Social Protest
University of Michigan (via Coursera)
Black performance and social activism have been a model for protest globally. It has enriched and activated cries for justice in multiple contexts. This course will help you expand your understanding of Black performance as social protest and its active effects on performance and protest today. The arts are a potent way of responding to issues of injustice. From slavery and lynching to incarceration and disenfranchisement, Black performance has resisted oppression across several historical frames. On this course, you’ll read, watch, and listen to performances that illustrate various forms of artistic protest from the African Diaspora. You’ll cover chants of the enslaved and dances of heritage, before moving on to look at early 20th century migrations and United States protests. You’ll identify ways in which patterns of resistance from the past contribute to ongoing social justice movements, such as Black Lives Matter. After investigating the history of Black performance as social protest, you’ll produce a reflective manifesto for achieving racial equity through performance.
Emotional Intelligence: Cultivating Immensely Human Interactions
University of Michigan (via Coursera)
This course is a multi-media exploration into important intra- and interpersonal skills required for Emotional Intelligence. Professors Sanchez-Burks and Alexander teach a model that brings together all of the areas that are necessary to improve and take skills in the interpersonal space to the next level. People call these ‘soft skills’ when in fact they are the hardest part of great leadership and the biggest contributor to team success. Through theory, assessments, animated vignettes, and video clips, participants will be able to see themselves and others, as well as analyze their own and others’ behaviors. This is a skill-building course based on published research in multiple fields.
Reimagining Educational Innovation
University of Michigan (via Coursera)
Reimagining Educational Innovation introduces local change agents to collaborative, continuous improvement – a locally grounded approach to innovation that empowers teachers, leaders, families, and community members to advance new ambitions for educational access, quality, and equity. Learners disrupt common conceptions of educational innovation as the exclusive province of policy, academic, and market actors, and explore how collaborative, continuous improvement empowers local innovators to address local educational opportunities, needs, and problems. Participate in a “virtual world tour” of collaborative, continuous improvement as enacted in diverse national contexts by teachers, family and community members, and school and system leaders, with guidance from leading researchers and support partners. Throughout, learners work systematically to construct a new, inclusive image of educational innovation in their local contexts anchored in norms of mutual respect, relational trust, and collective empowerment.
AI-Powered Data Analysis: A Practical Introduction
University of Michigan (via Coursera)
As generative artificial intelligence (AI) reshapes our world, the ability to analyze data is quickly becoming as fundamental as reading and writing. “AI-Powered Data Analysis: A Practical Introduction” explores how AI tools like ChatGPT are revolutionizing our approach to data, making advanced analysis accessible to everyone. Whether you're a complete novice or looking to enhance your skills, you'll learn how to navigate this new terrain. You'll learn to think critically about the context of data analysis, delve into the specifics of analyzing and visualizing data using AI, and consider broader factors that support but are not directly part of data analysis. This practical approach focuses on generative AI tools, ensuring you know how to ask the right questions to avoid common mistakes. Your final activity will allow you to set yourself up for continued learning with a prepared Python environment and data sets, which you can voluntarily showcase on GitHub—a code-sharing hub. By the end of this course, you'll be adept at using AI tools to analyze data effectively and seamlessly apply these skills to future projects.
علم النجاح: ما يجب أن تعرفه من الباحثين
University of Michigan (via Coursera)
تم تصميم هذه الدورة التدريبية التفاعلية حتى تساعدك على تحقيق النجاح الذي تريده. وبناءً على عقود من الأبحاث العلمية، ستتعلم ما يقوم به معظم الناجحين بطريقة مختلفة عن الآخرين ولماذا لا يعد معدل الذكاء المعيار الأساسي للنجاح (وقد يعطي نتيجة عكسية في بعض الأحيان) ولما تتسبب العديد من المعتقدات الشائعة بين الناس في إعاقة مسيرتهم نحو تحقيق أهدافهم. على الرغم من اعتماد هذه الدورة التدريبية على علم النجاح إلا أنك ستتعلم العديد من الأفكار العملية التي يمكنك تطبيقها على حياتك الخاصة فورًا خاصة في المجالات الثلاثة الأساسية وهي: • الحصول على نتائج أفضل في العمل (والمدرسة) • تحقيق النجاح المهني (أيًا كان مفهموك عن النجاح) • والاستمتاع بحياة رغدة وصحية وذات معنى وبحلول وقت انتهاء هذه الدورة التدريبية، ستتعلم أكثر مما يعلمه الناس عن معايير النجاح في الحياة ومن أهم الدروس التي ستتعلمها هي أن النجاح يُكتسب يومًا بيوم من خلال المكاسب البسيطة وهي عبارة عن أعمال صغيرة قابلة للإنجاز يمكنها معًا أن تساعدك على تحقيق أهدافك في وقت أقرب وأن تتجاوز توقعاتك. وبالتالي، ستحظى بفرصة إكمال خطة عمل مفصلة يمكنك من خلالها أن تحوّل ما تعلمته إلى خطوات محددة نحو تحقيق أكثر الأهداف قيّمة في الحياة.
Como influenciar pessoas
University of Michigan (via Coursera)
Este curso irá aprimorar sua capacidade de influenciar pessoas em situações nas quais não é possível recorrer à autoridade formal. Você aprenderá formas eficazes de criar, desenvolver e manter uma base de poder em sua organização. Você aprenderá, também, táticas de influência com as quais estará apto a ser mais persuasivo e influente no trabalho com seus superiores, colegas e até mesmo subordinados. Além disso, você aprenderá a criar e manter relações de alta qualidade para aumentar ainda mais o seu poder informal e a capacidade de influenciar pessoas. Acima de tudo, você aprenderá a estabelecer a diferença entre influência e manipulação e proteger-se de influências indesejadas. As estratégias de influência estudadas neste curso o tornarão um líder, apresentador e tomador de decisões mais confiante e influente. Você será mais eficaz ao vender ideias de negócios aos seus superiores, influenciar clientes e formar alianças com partes interessadas. Com este curso, você não apenas obterá orientações estratégicas sobre como desenvolver e manter sua rede de influência e poder, mas também se equipará com táticas e estratégias específicas comprovadamente eficazes para conquistar o poder e influenciar pessoas.
The Piano Sonata: Russian and 20th-21st Century Composers
University of Michigan (via Coursera)
In this course, you’ll review sonata form and learn how the piano sonata was revitalized in the 20th century, with a particular attention to composers from Russia, where the sonata was an especially popular and successful genre. You’ll study some of the most influential piano sonatas of the 20th century, in both Neo-Classical and avant-garde styles. This course will also expose you to a variety of lesser-known and more recent compositions, showing how the piano sonata genre continues to expand and to thrive. This course was filmed at the University of Michigan School of Music, Theatre & Dance, among other locations, to showcase the depth of the sonata repertoire and the instruments that contributed to its history.
Logistic Regression and Prediction for Health Data
University of Michigan (via Coursera)
This course introduces learners to the analysis of binary/dichotomous outcomes. Learners will become familiar with fundamental tests for two-group comparisons and statistical inference plus prediction more broadly using logistic regression. They will understand the connection between prevalence, risk ratios, and odds ratios. By the end of this course, learners will be able to understand how binary outcomes arise, how to use R to compare proportions between two groups, how to fit logistic regressions in R, how to make predictions using logistic regression, and how to assess the quality of these predictions. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured exercises.
Python Data Structures
University of Michigan (via Coursera)
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
Justice and Equity in Technology Policy
University of Michigan (via Coursera)
More than ever, technology is shaping, and being shaped by, public policy. This has an enormous impact, particularly for marginalized communities. The artificial intelligence and computer algorithms increasingly driving government and industry decisions—from the allocation of social services to hiring—are reflecting and reinforcing social biases towards women, people of color, and disabled people, among others. Global climate change is having a disproportionately negative impact on low- and middle-income countries, and on historically disadvantaged communities of color in the United States. Communities are increasingly concerned they are not benefiting from government research funding, and that the regulation of emerging technologies is inadequate. The interconnectedness of technology, policy, and equality raises crucial questions for scientists, technologists, and leaders in public policy, civil society, and industry. How can technology be built, implemented, and governed more equitably? How can the concerns of marginalized communities be integrated better into technology and related policies? How should community knowledge and concerns be integrated with technical expertise and scientific evidence in the development of public policies? This course aims to help learners understand how inequity and injustice can become embedded in technology, science, and associated policies, and how this can be addressed. Combining real-world cases with scholarly insights, this course introduces learners to these challenges and offers tools for navigating them. You will learn about: The landscape of technology policymaking How technology, and related policies both reflect and reinforce social values, biases and politics The power and limitations of technology in solving social problems New ways to think about “experts” and “publics” The politics of innovation policy The course is designed for people from diverse professional, advocacy, and academic backgrounds. ...
The Science of Success: What Researchers Know that You Should Know
University of Michigan (via Coursera)
This engaging course is designed to help you achieve the success that you desire. Drawing on decades of scientific research, you will learn what the most successful people do differently than others, why IQ is not the most significant predictor of success (and can sometimes backfire), and why many commonly held beliefs hold people back from achieving their goals. Although this course is based on the science of success, you will learn many practical ideas that you can apply to your own life immediately, particularly in three main areas: • Getting better results at work (and school) • Achieving career success (however you define success) • Enjoying a meaningful, happy, and healthy life By the time you finish this course you will know more than most people know about what predicts success in life. One of the most important lessons you’ll learn is that success is earned day-by-day through small wins - small, achievable actions that together can help you achieve your goals sooner and exceed even your own expectations. Therefore, you will have an opportunity to complete a detailed action plan through which you can turn what you learned into specific steps for achieving your most treasured life goals.
How to Describe Data
University of Michigan (via Coursera)
How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn the fundamentals of discussing, evaluating, and presenting a wide range of data sets, as well as how data helps us make sense of the world. This is a broad overview of statistics and is designed for those with no previous experience in data analysis. With this course, you’ll be able to spot potentially misleading statistics and better interpret claims about data you encounter in the world. Course assessments focus on your understanding of concepts rather than solving math problems. This is the first course in Understanding Data: Navigating Statistics, Science, and AI Specialization, where you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
Wearable Technologies and Sports Analytics
University of Michigan (via Coursera)
Sports analytics now include massive datasets from athletes and teams that quantify both training and competition efforts. Wearable technology devices are being worn by athletes everyday and provide considerable opportunities for an in-depth look at the stress and recovery of athletes across entire seasons. The capturing of these large datasets has led to new hypotheses and strategies regarding injury prevention as well as detailed feedback for athletes to try and optimize training and recovery. This course is an introduction to wearable technology devices and their use in training and competition as part of the larger field of sport sciences. It includes an introduction to the physiological principles that are relevant to exercise training and sport performance and how wearable devices can be used to help characterize both training and performance. It includes access to some large sport team datasets and uses programming in python to explore concepts related to training, recovery and performance.
Environmental Justice
University of Michigan (via Coursera)
Studies of the late twentieth and early twenty-first centuries demonstrated persistent trends in the US: race, income, and other factors predispose marginalized communities to higher toxic waste exposure and poorer quality of air, water, housing, and recreational spaces. In “Environmental Justice,” you’ll learn how these burdens have individual, interpersonal, and intergenerational effects and how environmental justice has helped mitigate these inequities In this course, you’ll learn about the historical events that have helped shape the environmental justice movements of today, and legislative victories, like the removal of lead from automotive fuels and the establishment of mandates within the U.S. Environmental Protection Agency. In addition to previous successes, this course will explore current work emerging in the field of environmental justice, including Indigenous sovereignty, conservation, climate and migration justice, affordable housing, policing, digital equity, disability rights, and more. This is a course within the “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
Introducción al HTML5
University of Michigan (via Coursera)
Gracias a un número creciente de programas de software, parece que cualquiera puede hacer una página web. Pero, ¿Qué pasa si realmente quieres entender cómo se creó la página? Hay excelentes libros de texto y recursos en línea para aprender diseño web, pero la mayoría de esos recursos requieren algunos conocimientos previos. Este curso está diseñado para ayudar al principiante que quiere ganar confianza y conocimientos. Exploraremos la teoría (¿Qué sucede realmente cuando se hace clic en un enlace en una página web?), lo práctico (¿Qué necesito saber para hacer mi propia página?) y lo pasado por alto (tengo una página, ¿Qué hago ahora?). A lo largo del curso se dará un fuerte énfasis en adherirse a los estándares sintácticos para la validación y estándares semánticos a fin de promover una amplia accesibilidad para los usuarios con discapacidades. El libro de texto que usamos está disponible en línea, “The Missing Link: An Introduction to Web Development and Programming” (“El Enlace Pedido: Una Introducción al Desarrollo y a la Programación Web") por Michael Méndez, en www.opensuny.org. Este curso atraerá a una amplia variedad de personas, pero específicamente a aquellos que deseen una descripción paso a paso de los conceptos básicos. No hay requisitos previos para este curso y se asume que los estudiantes no tienen habilidades de programación previas o experiencia en TI. El curso culminará con un pequeño proyecto que requerirá la realización de una página muy sencilla con enlaces e imágenes. El enfoque de este curso está en lo básico, no en la apariencia. Puedes ver un ejemplo de página final en http://intro-webdesign.com/html5-plain.html. Este es el primer curso de la Especialización en Diseño Web para todo el mundo. Los cursos posteriores se centran en las habilidades comercializables de estilizar la página con CSS3, agregar interactividad con JavaScript y mejorar el estilo con un diseño receptivo. Puedes ver un sitio de muestra para el curso final en h...
Leading Diverse Teams & Organizations
University of Michigan (via Coursera)
In this new course, you'll gain evidence-based knowledge and practical tools to help you design and lead diverse, equitable, and inclusive (DEI) teams and organizations. Whatever your background, and wherever in the world you may be, you’ll gain tools to accelerate your personal journey to lead diverse teams and organizations. This program is specifically designed to accommodate learners from different backgrounds (gender, race, country of origin, etc) as well as different starting knowledge points (new to the topic or social justice warriors). In the course, you’ll learn to better understand yourself and your personal identity in the workplace and gain new skills to identify privilege, implicit bias, and microaggressions in your organization and to take action as an active ally and change advocate. After hearing from experts representing a diverse array of real-world perspectives, you’ll understand best practices for equitable organizational processes and norms and inclusive behavioral practices in teams. Finally, you'll learn about best practices for organizational DEI strategy, including the role of metrics in DEI work and how DEI work can be integrated into the heart of an organization. At the end of the course, you’ll create a DEI action plan which you can apply to your own life and workplace. Throughout the course, you'll: Describe the organizational benefits of diversity, equity, and inclusion Identify the conditions under which diversity is most likely to benefit teams and organizations. Deepen your understanding of different demographic differences and how identity, implicit bias, and structural inequalities impact workplace dynamics. Identify best practices for equitable organizational processes and norms. Incorporate important considerations for how to lead inclusive teams, including conflict management skills, group decision making best practices, and emotion regulation. Gain tools for the implementation of DEI strategies in organizat...
GenAI in Business: Strategies for Successful Execution
University of Michigan (via Coursera)
In the third course of the "Generative AI in Business" series, we focus on the "Act" phase of the "See, Plan, Act" framework. This course will guide you through a structured, five-step process to build, launch, and scale the generative AI solution you’ve planned. During the process, we'll analyze the critical factors that drive the long-term success of your generative AI project. You’ll learn how to assemble and manage the right team, optimize the user experience, and develop an effective communication strategy for both internal and external stakeholders. Additionally, we’ll cover how to track performance after launch and proactively identify and mitigate risks to ensure your generative AI solution continues to deliver value. By the end of this course, you’ll have the tools and knowledge to confidently bring your generative AI solution to life and sustain its impact over time. This is the third course in “Generative AI in Business,” a short course series for business professionals interested in using generative AI to support, enhance, and amplify the work of their organizations.
Securing Digital Democracy
University of Michigan (via Coursera)
In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.
Programmation pour tous (mise en route de Python)
University of Michigan (via Coursera)
Ce cours vise à enseigner à tous les bases de la programmation informatique en Python. Nous couvrons les bases pour construire un programme à partir d’une série d’instructions simples en Python. Le cours ne suppose aucune condition préalable et repose sur le b.a.-ba des mathématiques. Toute personne avec une expérience informatique modérée devrait être capable de maîtriser le contenu de ce cours. Ce cours couvrira les chapitres 1 à 5 du manuel « Python pour tous ». Lorsqu’un étudiant aura terminé ce cours, il sera en mesure de suivre des cours de programmation plus avancés. Ce cours couvre le Python 3.
Introduction to Thermodynamics: Transferring Energy from Here to There
University of Michigan (via Coursera)
COURSE DESCRIPTION This course provides an introduction to the most powerful engineering principles you will ever learn - Thermodynamics: the science of transferring energy from one place or form to another place or form. We will introduce the tools you need to analyze energy systems from solar panels, to engines, to insulated coffee mugs. More specifically, we will cover the topics of mass and energy conservation principles; first law analysis of control mass and control volume systems; properties and behavior of pure substances; and applications to thermodynamic systems operating at steady state conditions. COURSE FORMAT The class consists of lecture videos, which average 8 to 12 minutes in length. The videos include integrated In-Video Quiz questions. There are also quizzes at the end of each section, which include problems to practice your analytical skills that are not part of video lectures. There are no exams. GRADING POLICY Each question is worth 1 point. A correct answer is worth +1 point. An incorrect answer is worth 0 points. There is no partial credit. You can attempt each quiz up to three times every 8 hours, with an unlimited number of total attempts. The number of questions that need to be answered correctly to pass are displayed at the beginning of each quiz. Following the Mastery Learning model, students must pass all 8 practice quizzes with a score of 80% or higher in order to complete the course. ESTIMATED WORKLOAD If you follow the suggested deadlines, lectures and quizzes will each take approximately ~3 hours per week each, for a total of ~6 hours per week. TARGET AUDIENCE Basic undergraduate engineering or science student. FREQUENTLY ASKED QUESTIONS What are the prerequisites for taking this course? An introductory background (high school or first year college level) in chemistry, physics, and calculus will help you be successful in this class. -What will this class prepare me for in the academic world? Thermodynamics is a p...
Negociações de sucesso: estratégias e habilidades essenciais (em Português)
University of Michigan (via Coursera)
Todos nós negociamos diariamente. No nível pessoal, negociamos com amigos, família, proprietários do imóvel em que moramos, vendedores de carro, funcionários, entre outros. A negociação também é a chave para o sucesso nos negócios. Nenhuma empresa consegue sobreviver sem contratos lucrativos. Dentro de uma empresa, as habilidades de negociação podem levar a avanços na carreira. Este curso fornece uma introdução prática e holística às estratégias e habilidades que podem levar a negociações de sucesso na vida pessoal e nas transações de negócios. O curso cobre os quatro principais estágios da negociação: (1) planejamento, (2) negociação, (3) criação do contrato e (4) execução do contrato. Cada estágio analisa as principais questões que você deverá estar preparado para responder em negociações futuras, como: • Quais são os principais elementos em uma análise de negociação, incluindo o preço de reserva fixado, a meta de expansão, alternativas para o negócio em questão e a zona de acordo potencial? • Que diretrizes devem ser seguidas ao confrontar questões de ética? • Qual é a sua fonte de poder nas negociações e como é possível aumentar o seu poder? • Quais ferramentas psicológicas podem ser usadas durante as negociações e quais armadilhas psicológicas devem ser evitadas? • Quais são as quatro principais questões de lei contratual que devem estar no checklist de negociação? • Quais conceitos e ferramentas podem ser usados ao resolver controvérsias? Durante o curso, você assistirá a uma série de pequenos vídeos (que vão de 5 a 20 minutos) sobre cada estágio da negociação. Os vídeos são interativos e incluem questões para testar o seu entendimento sobre estratégias e habilidades de negociação. O curso também inclui vídeos que dramatizam a arbitragem de uma controvérsia na área de construção e a mediação de uma controvérsia de software de robótica. Dependendo do seu planejamento, pode assistir aos vídeos ao longo de algumas semanas ou pode assisti-los todos de u...
Data Mining in Python
University of Michigan (via Coursera)
In “Data Mining in Python,” you will learn how to extract useful knowledge from large-scale datasets. This course introduces basic concepts and general tasks for data mining. You will explore a wide range of real-world data sets, including grocery store, restaurant reviews, business operations, social media posts, and more. You will learn how to formally describe real-world information with general data representations (e.g., itemsets, vectors, matrices, sequences, and more). You will then learn how to formulate data in the wild with one or more of these representations. This course will teach you how to characterize and explain your data by looking for patterns and similarities, which are basic building blocks for advanced analysis and machine learning models. This is the first course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the Applied Data Science with Python specialization prior to beginning this course.
Feedback Loops: Horizontal Feedback
University of Michigan (via Coursera)
What’s the best way to give and get feedback from a coworker? How about from a classmate, teammate, or friend? These and other horizontal feedback opportunities can sometimes cause a lot of anxiety, jealousy, bitterness, and misinformation. This course will help you avoid those pitfalls and turn peer feedback into a source of mutually beneficial improvement.
Finding Purpose and Meaning In Life: Living for What Matters Most
University of Michigan (via Coursera)
Welcome to Finding Purpose and Meaning in Life: Living for What Matters Most! In this course, you’ll learn how science, philosophy and practice all play a role in both finding your purpose and living a purposeful life. You will hear from historical figures and individuals about their journeys to finding and living a purposeful life, and will walk through different exercises to help you find out what matters most to you so you can live a purposeful life. As an added benefit, you will also have complimentary access, for a period of time, to the Purposeful App. This groundbreaking mobile and desktop app is designed to help you build a purposeful rhythm into each day, so you can bring your best self to what matters most. Look for more information in Week 1 of the course! By the end of this course, you will: 1. Understand that having a strong purpose in life is an essential element of human well-being. 2. Know how self-transcending purpose positively affects well-being. 3. Be able to create a purpose for your life (don't be intimidated, this is different from creating "the purpose" for your life). 4. Apply personal approaches and skills to self-change and become and stay connected to your purpose every day. We are thrilled that you are here! We look forward to hearing and learning from you throughout this course!
ChatGPT Teach-Out
University of Michigan (via Coursera)
This Teach-Out introduces learners to artificial intelligence and explains how large language models and chatbots like ChatGPT work. You will better understand the ethical use of artificial intelligence, the implications of authorship, and how tools like ChatGPT might be utilized and regulated moving forward. ChatGPT launched in November 2022 in an effort to enhance natural language processing tasks like translation, text summarization, and text generation. Within five days of release, ChatGPT crossed 1 million users. By the two-month mark, it surpassed 100 million users. Soon after its launch, concerns regarding the ethical implications of ChatGPT's usage began to emerge, particularly in education. This Teach-Out brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, healthcare delivery, and law to discuss the impacts of ChatGPT now and into the future. This Teach-Out will answer: What is ChatGPT and how does it work? What are the benefits and drawbacks of using ChatGPT? What are legal implications of using ChatGPT? How have society, the economy, and education responded to ChatGPT? How might ChatGPT be integrated into society moving forward? All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image.
Advancing Health Equity: A Guide to Reducing Bias in Healthcare
University of Michigan (via Coursera)
Bias in healthcare delivery leads to worse patient care and patient outcomes. Advancing Health Equity: A Guide for Reducing Bias in Healthcare provides you an interactive bias training that teaches skills applicable to addressing enhanced public health guidelines and approaching the work of health equity. The racial and ethnic makeup of the United States is constantly shifting, and more specifically, becoming more diverse. Such changes require a more health equity-focused workforce and health equity-minded leadership. Bias training plays an essential role in leadership development, and it’s become imperative for all healthcare workers to recognize the foundational connection between biases and health care management and policy. This course is designed to challenge your awareness, values, and actions on implicit and unconscious bias, and is intended to guide individuals hoping to contribute to this work in a healthcare context. The following core concepts form the basis of instruction and together offer an introductory perspective on this pressing topic: 1.) Community Orientation; 2.) Organizational Awareness; 3.) Professionalism; 4.) Accountability, Change Leadership, and Strategic Orientation. An interactive 360-video experience allows you to engage in healthcare situations that center bias on multiple levels of our healthcare delivery systems. You will be prompted to consider multiple perspectives and roles, and use empathy to analyze bias and take action.
Sustainability Leadership Development
University of Michigan (via Coursera)
How organizations and society respond to declines in environmental and social capital is the defining issue of our times. “Sustainability Leadership” explores and analyzes the concepts and application of leadership to empower you to be a positive change agent during this critical time. This course prepares current and future sustainability professionals to tackle “wicked problems” — challenges that are difficult to solve due to incomplete, contradictory, or changing information and that stem from simultaneously addressing environmental and interrelated social and economic issues. This requires a rethinking of how people and organizations exert leadership. Each module will explore how power structures, social justice, and equity impact organizations and how leaders can utilize ethics and values to set and achieve goals. You'll learn to apply sustainability leadership to real-world situations through lectures, conversations with key leaders, case studies, self-assessments, readings, videos, and podcasts. By the end of the course, you’ll draft a personalized action plan that can help begin or advance your career in sustainability and provide a sound basis to start transforming your organization for good. This is the third course in “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
Leveraging Generative AI for Social Impact Organizations
University of Michigan (via Coursera)
Leveraging Generative AI for Social Impact Organizations focuses on the issue of resource scarcity commonly faced by social impact organizations and how generative AI tools can help free up limited staff capacity from routine administrative tasks. Social impact organizations often find themselves overwhelmed by repeatedly responding to common inquiries, data management and documentation needs, and other basic functions that limit their ability to fully devote time to core programming and service delivery. In this course, you’ll learn concrete examples of how AI could improve efficiency in areas like automatically answering frequently asked questions, converting information requests into readable reports, or drafting, designing, and distributing communications materials. Gain insight into key opportunities to leverage AI to expand your organization’s bandwidth for mission-critical activities. The course also explores the limitations and ethical considerations of relying on generative AI versus human judgment and nuanced interactions in social programming.
Influencing People
University of Michigan (via Coursera)
This course will improve your ability to influence people in situations where you cannot use formal authority. You will learn about effective ways to build, develop, and sustain a power base in your organization. You will also learn influence tactics that enable you to be more persuasive and influential in working with your superiors, peers, and even subordinates. In addition, you will learn how to build and maintain high-quality relationships to further maximize your informal power and ability to influence others. Importantly, you will distinguish between influence and manipulation and learn how to protect yourself from the unwanted influence of others. The influence strategies you learn in this course will make you a more confident and influential leader, presenter, and decision-maker. You will more effective in pitching business ideas to your superiors, influencing customers, and building coalitions across stakeholders. This course will not only give you strategic guidance on how to develop and maintain your network for influence and power, but we will also equip you with specific tactics and strategies that are proven to work for gaining power and influencing people.
UX (User Experience) Capstone
University of Michigan (via Coursera)
In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product. You will: Learn how to design and carry out an integrated multi-phase user experience research and design project Gain experience conducting user experience research in a real-world setting Gain hands-on experience with a realistic UX design project Improve ability to communicate design concepts and actionable research findings.
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript
University of Michigan (via Coursera)
Why should a designer learn to code? As our world is increasingly impacted by the use of algorithms, designers must learn how to use and create design computing programs. Designers must go beyond the narrowly focused use of computers in the automation of simple drafting/modeling tasks and instead explore the extraordinary potential digitalization holds for design culture/practice. Structured around a series of fundamental design problems, this course will show you Python code in terms of its rules and syntax, and what we can do with it in its application and design. So, by the end of this course, you will know the fundamentals of Python and Rhino script, but importantly, through the lens of their application in geometrically focused design lessons and exercises. Subjects covered in this course An introduction to Design Computing as a subject and why designers should learn to code. The fundamentals of coding in the Python scripting language. By the end of the course students will be familiar with the basic structure and syntax of this language. The understanding and application of Rhinoscriptsyntax, a native coding language in Rhinoceros that’s imported into Python, which allows one to create and control geometries through authoring code. The application of Procedural Logics - the structuring of coding systems to produce variable geometric form. The output of geometries in still and animate forms.
Translating Basic Research into Research for Humans
University of Michigan (via Coursera)
The first phase of translational research — known as “T1” — is the process of moving foundational scientific discoveries into possible approaches for real-world health applications. This course focuses on innovations in basic science discovery, including drug discovery and repurposing and animal studies, that lead to new methods of diagnosis, treatment, and prevention in highly controlled settings. You’ll also discuss the role of the federal government to support and regulate translational research as it moves from basic science to human interventions. This is the second course of five in the “Translational Science” series.
AI Ethics, Responsible Use, and Creativity
University of Michigan (via Coursera)
“AI Ethics, Responsible Use, & Creativity” explores ethics and responsible use of generative AI tools for creative work. After completing this course, you will learn how to engage with generative AI tools with an eye toward intentionality, sustainability, and responsibility. You will learn the SIFT (Specify, Identify, Focus, Trust) process for evaluating AI tools. This compact method helps learners employ AI successfully and sustainably by realistically approaching the technology and prioritizing intentional decision-making for individuals and enterprises. You will learn the practical application of the SIFT framework by using it to evaluate tools and creative work developed in the first course. You will also learn about the reputational and legal risks of using AI in creative fields. You will explore issues of environmental cost, cultural bias, and data risks of contemporary GenAI tools through readings and a guest lecture by expert Justin Joque. This is the second course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.
Advanced Styling with Responsive Design
University of Michigan (via Coursera)
It used to be the case that everyone viewed web pages on about the same size screen - a desktop computer. But now it is just as likely that someone will be using a smart phone, tablet, or assistive technology to access the Internet. Therefore, people viewing your site will now expect that it will perform regardless of the device (smartphone, tablet, laptop, desktop computer, or screen reader) AND take into account some common personal settings such as color schemes. This ability to respond to any platform and user preferences is called Responsive Design. This course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms. After the course, learners will be able to: Explain the mobile-first paradigm and the importance of wireframes in the design phase Create sites that behave across a range of platforms ** Recognize existing design frameworks such as Bootstrap A basic understanding of HTML and CSS is expected when you enroll in this class, so it can be taken third or fourth in the Web Design for Everybody specialization. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.
NumPy and Pandas Basics for Future Data Scientists
University of Michigan (via Coursera)
In “NumPy and Pandas Basics for Future Data Scientists,” learn programming techniques using Python's NumPy and pandas libraries to write efficient and bug-free code for numerical computing. At the start of the course, you’ll be introduced to the NumPy library and will learn to perform basic NumPy array operations. After understanding the basics of the NumPy library, you’ll explore more advanced array manipulations, including aggregating functions, broadcasting, reshaping, sorting, and joining arrays. By the end of this course, you will have the skills to apply multiple data manipulation techniques using advanced methods and apply functions to your code. This is the second course in the four-course series, “Data-Oriented Python Programming and Debugging,” where you’ll work to strengthen your programming capabilities and enhance your problem-solving skills.
Linear Regression Modeling for Health Data
University of Michigan (via Coursera)
This course provides learners with a first look at the world of statistical modeling. It begins with a high-level overview of different philosophies on the question of 'what is a statistical model' and introduces learners to the core ideas of traditional statistical inference and reasoning. Learners will get their first look at the ever-popular t-test and delve further into linear regression. They will also learn how to fit and interpret regression models for a continuous outcome with multiple predictors. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured exercises.
Student Debt Crisis Teach-Out
University of Michigan (via Coursera)
Student loan debt in the United States has skyrocketed to over $1.75 trillion, and that number is only expected to grow as tuition costs increase. While working toward student loan forgiveness is an option for some, many have been left with high interest rates and large monthly payments. In the Student Debt Crisis Teach-Out™, examine the factors leading to the student loan debt crisis, review the state of student loan forgiveness legislation, and explore how federal loan forgiveness could impact the economy and higher education. Consider varying opinions on the state of the crisis and hear from those looking to eliminate student loan debt to those suggesting forgiveness in limited instances. Featuring the expertise of researchers, lawyers, economists, student loan advocates, and financial aid advisors, this Teach-Out provides resources to discuss student loan debt, forgiveness plans and policies, and alternatives to higher education. This Teach-Out will answer: What is student debt in the U.S.? Is it a “crisis”? How do student loan models work and what types of repayment options exist? What are alternative models of student loans? What is student loan forgiveness? How could it potentially impact the economy and society? What are alternative pathways to higher education? What can individuals do to navigate their student loan debt? All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image.
Feedback Loops: Feedback Fundamentals
University of Michigan (via Coursera)
What if you could become really good at both giving and receiving feedback? Imagine the effect that would have on your overall development, as well as on the various relationships you have in both your professional and personal life. Your ability to grow and improve would expand dramatically. So would the positive impact you could have on the people with whom you interact and collaborate the most. This first course in the four-part specialization “Feedback Loops: How to Give & Receive High-Quality Feedback" will help you reap those benefits.
Impacting the Opioid Crisis: Prevention, Education, and Practice for Non-Prescribing Providers
University of Michigan (via Coursera)
This course will empower non-prescribing providers to directly impact the ongoing opioid crisis in the United States through increased knowledge and tools that will transform practice and policies. The course will inform you about the opioid epidemic and provide information and research about evidence-based strategies that are focused on prevention, intervention, education, or policy. This open learning course is designed primarily for non-prescribing healthcare, behavioral health, dental and social services professionals, as well as graduate-level students in these fields. Other individuals may also benefit from this course such as educators and physicians. As a learner, you have the ability to select any or all of the modules and topics that interest you. You can complete the course in a linear or non-linear structure according to your preferred viewing order. This course is taught by experts in the field of opioid prevention, intervention, treatment, and policy. Through lectures, panels and interviews, knowledge checks and quizzes, and additional readings and activities, you can explore topics that are most relevant to your work or practice. After completing this activity, participants will be able to educate their patients on the safe use of opioids and the prevention of misuse, detect risk factors for opioid misuse and abuse, and refer patients to additional evidence-based resources. The course was developed by three University of Michigan programs, including the Institute for Healthcare Policy and Innovation (IHPI), the Opioid Prescribing Engagement Network (OPEN) and the CDC-funded University of Michigan Injury Prevention Center. The course consists of 6 “lessons” or modules of varying length, for a total commitment of about 16 hours. Course modules include: 1. Epidemiology of the Opioid Crisis 2. Understanding of Pain 3. Prevention of Misuse and Abuse 4. Working with Patients and the Public 5. Addiction Treatment and Recovery 6. Public Policy
How Science Turns Data Into Knowledge
University of Michigan (via Coursera)
How Science Turns Data Into Knowledge teaches you how to evaluate scientific claims critically, address experimental limitations, and recognize the roles of trust and responsibility within research. During the course, you’ll explore the nuances of significance testing, scientific research methods, and science communication, emphasizing the importance of carefully interpreting statistical results. After learning about the scientific process, you’ll learn how science can make its way into the news cycle—and how critical context can be lost amidst the noise. By the end of the course, you’ll be able to think more critically about the media you consume and how you can view science news and information with a more nuanced perspective. This is the second course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
Database Design and Basic SQL in PostgreSQL
University of Michigan (via Coursera)
In this course you will learn more about the historical design of databases and the use of SQL in the PostgreSQL environment. Using SQL techniques and common commands (INSERT INTO, WHERE, ORDER BY, ON DELETE CASCADE, etc) will enable you to create tables, column types and define the schema of your data in PostgreSQL. You will learn about data modeling and how to represent one-to-many and many-to-many relationships in PostgreSQL. Students will do hands-on assignments creating tables, inserting data, designing data models, creating relational structures and inserting and querying relational data in tables.
Decoding AI: A Deep Dive into AI Models and Predictions
University of Michigan (via Coursera)
Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond. This is the third course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
Stocks and Bonds
University of Michigan (via Coursera)
In this course, we will apply the central concept and applications of Time Value of Money (TVM) to explore the structure and pricing of stocks and bonds at an introductory level. In this course, you will learn about bonds, different types of bonds (Zero Coupon bonds, Government bonds). You will learn about bond pricing calculations and see their direct connection to market data on bonds. You will also learn about stocks, and their pricing and valuation. You will learn about growth and dividend stocks and how to use market data. After completing this course, you will have an understanding of the two fundamental and pervasive ways in which savers transfer money to governments and corporations. You will be able to apply all this knowledge to personal investing decisions and, importantly, these same tools and frameworks are applicable to corporate decisions. This course is part of the four-course Foundational Finance for Strategic Decision Making Specialization.
Introduction to Healthcare Finance
University of Michigan (via Coursera)
Introduction to Healthcare Finance equips healthcare leaders with fundamental finance tools and concepts necessary for effective collaboration with experts and managing organizations. In this course, you’ll explore healthcare pricing, investment valuation, and pharmaceutical research and development costing. You will consider the motivation, consequences, and valuation techniques essential to helping you make strategic decisions and engage in effective bargaining in healthcare mergers and acquisitions. Get an inside look at the variations and complexities of healthcare pricing, trade-offs between financial risk and performance incentives, and the bargaining processes vital to pricing strategies and organizational viability. Financial valuation techniques, such as net present value and internal rate of return, are explored alongside financial risk considerations and opportunity costs.
Questionnaire Design for Social Surveys
University of Michigan (via Coursera)
This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.
Learning Languages with AI
University of Michigan (via Coursera)
Learning a new language can be exciting, but we don’t always have the resources to push ourselves to the next level. In “Learning Languages with AI”, you will learn how to enhance language learning with the help of generative AI tools. Identify your strengths and areas for improvement, then explore how you can responsibly harness AI to enhance your language skills even further. Throughout the course, you’ll work to create unique and personalized lessons tailored to your learning style and goals. Learn to use strategic approaches based on your skill level to improve your spoken and written communication in any language. Whether you’re new to generative AI tools or are a chatbot expert, this course will meet you where you are to embark on an enjoyable and satisfying language-learning journey.
Developing and Deploying a Complete Django Web Application
University of Michigan (via Coursera)
In this final course, we'll look at the JavaScript language and how it supports the Object-Oriented pattern, with a focus on the unique aspects of JavaScript's approach to OO. We'll provide an introduction to the jQuery library, which is widely used for in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e., in Django) and code running in the browser (JavaScript/jQuery). You will continue to develop your classified ads application, adding features that make use of JavaScript, JQuery, and JSON. This course assumes you have completed the first three courses in the specialization.
Python에서 데이터베이스 사용하기
University of Michigan (via Coursera)
이 과정은 학생들에게 SQL(Structured Query Language)의 기초와 다단계 데이터 수집, 분석 및 처리 노력의 일환으로 데이터를 저장하기 위한 기본 데이터베이스 설계를 소개합니다. 본 과정은 SQLite3를 데이터베이스로 사용합니다. 또한 웹 크롤러와 다단계 데이터 수집 및 시각화 프로세스를 구축합니다. D3.js 라이브러리를 사용하여 기본 데이터 시각화를 수행합니다. 본 과정은 ‘Python for Everybody’의 14-15장을 다룹니다. 이 과정을 성공적으로 마치려면 교과서의 1-13장과 이 전문 과정의 처음 세 과정에서 다루는 내용을 숙지해야 합니다. 본 과정은 Python 3를 다룹니다.
Cómo inspirar y a motivar personas
University of Michigan (via Coursera)
En este curso, aprenderá a crear una visión compartida para su equipo y a comunicarla con eficacia a sus compañeros. También aprenderá a fijar metas y expectativas eficaces de un modo que le permita a su equipo alcanzar esa visión compartida. Por último, comprenderá las necesidades y los factores de desempeño más importantes en todas las culturas y aprenderá a alinear incentivos con conductas deseadas, para motivar a sus compañeros a alcanzar los objetivos del equipo. La motivación es un desafío esencial en las organizaciones modernas. Una encuesta reciente de Gallup reveló que solo el 13 % de los trabajadores de todo el mundo exhiben niveles altos de compromiso y motivación. Le mostraremos por qué estos problemas de motivación no solo se deben a miembros de equipo “desmotivados” o “de bajo desempeño”. Por el contrario, la motivación se basa en las condiciones laborales que creamos para nuestros compañeros de equipo, la forma en que estructuramos metas y objetivos, y la manera en que recompensamos el logro de esas metas. Este curso lo ayudará a diagnosticar y resolver problemas de motivación, para que pueda obtener el máximo desempeño de las personas.
Service Transformed: Lessons in U.S. Veteran Centered Care
University of Michigan (via Coursera)
Improving health care for veterans has become a matter of national attention and has gained increasing attention from the medical community. With the current surge of veterans reintegrating into civilian society it is critical to improve the training of the next cadre of providers who will provide care for our veterans. It is widely known that veterans receive care in all aspects of the health system, thus providers in veteran focused care facilities, military health serves and civilian locals must be aware of the unique needs of veterans. It is perhaps even more important to educate civilian providers who may be unfamiliar with the unique physical, mental and emotional needs related to military service. Course Audience - all health professions learners, example: - medical students, resident physicians, dental students, - nursing students, advanced practice nurses, - social work, pharmacy student as graduate level learners - as well as any and all health professionals interested in veteran-centered care What You Will Learn: This course will provide learners the opportunity to engage with material to facilitate their understanding of the origins of Academic Medical Centers and Veterans Administration affiliations, recognize and manage the influence of bias, class, and power on the clinical encounter and self-reflect on their biases that particularly affect U.S. military veterans. This course also features several video clips from the acclaimed documentary, Where Soldiers Come From, directed by Heather Courtney. The views expressed in this course are those of the authors and do not necessarily reflect the position or the policy of the Department of Veterans Affairs or the U.S. government.
人、テクノロジー、そしてモビリティの未来
University of Michigan (via Coursera)
「人、テクノロジー、そしてモビリティの未来」コースへようこそ！このコースでは、モビリティ分野で現在進行中の主要な技術革新のいくつかを一般の人向けに紹介します。受講生には、さまざまな社会科学の概念を適用して、これらの技術がもたらす可能性のある社会的影響を理解するよう求めます。このコースは、あらゆるバックグラウンドの受講生に適しており、工学または社会科学の事前のトレーニングは必要ありません。 このコースの内容は、 Siemensとのパートナーシップを通じて作成された多数のインタビューや講義に基づいています。このコースにはインタラクティブな360ビデオ体験も含まれており、受講生は自動運転車の主なコンポーネントについて学習したり、自動運転車に同乗したり、現在と未来のスマートシティで使用される新しいセンシング技術について学ぶことができます。 このコースでは、より安全かつクリーンで、より公平な未来のモビリティを思い描くことを受講生に求めます。また、電化とオートメーションという、進化する2つのモビリティ関連技術分野について、最近の技術進歩と社会経済や政策への影響について考察します。
Введение в HTML5
University of Michigan (via Coursera)
Кажется, что благодаря растущему количеству программ создать веб-страницу теперь может любой. Но что, если вы действительно хотите понять, как была создана страница? Есть отличные учебники и онлайн-ресурсы для изучения веб-дизайна, но для понимания большинства из этих ресурсов требуются некоторые базовые знания. Этот курс разработан для помощи новичкам, которые хотят обрести уверенность и новые знания. Мы рассмотрим теорию (что на самом деле происходит, когда вы нажимаете на ссылку на веб-странице?), практику (что нужно знать, чтобы создать свою собственную страницу?) и некоторые упущенные моменты (у вас есть страница, что вам делать с ней?). На протяжении всего курса особое внимание будет уделяться соблюдению синтаксических стандартов для валидации и семантических стандартов для обеспечения доступности веб-страницы для пользователей с ограниченными возможностями. Учебник, который мы используем — «Недостающее звено: введение в веб-разработку и программирование» (The Missing Link: An Introduction to Web Development and Programming) Майкла Мендеса — доступен на сайте www.opensuny.org. Этот курс подойдет самым разным людям, но особенно тем, кто хотел бы получить пошаговое описание базовых вещей. Для этого курса нет обязательных требований, и предполагается, что учащиеся не имеют навыков программирования и опыта работы в сфере ИТ. Курс завершится небольшим финальным проектом, который потребует создания очень простой страницы со ссылками и изображениями. Основное внимание в этом курсе уделяется базовым вещам, а не внешнему виду. Вы можете посмотреть образец окончательной страницы по ссылке http://intro-webdesign.com/html5-plain.html. Это первый курс специализации «Веб-дизайн для всех». Последующие курсы сосредоточены на востребованных на рынке труда навыках стилизации страницы с помощью CSS3, добавления интерактивности с помощью JavaScript и расширенной стилизации с использованием респонсивного дизайна. Вы можете посмотреть образец сайта с дипломной работы курса по...
Teaching and Assessing Clinical Skills
University of Michigan (via Coursera)
The purpose of this course is to improve feedback, clinical teaching, and assessment of clinical skills.
Introduction to Healthcare Management
University of Michigan (via Coursera)
In Introduction to Healthcare Management, you’ll learn the daily operation and management of healthcare delivery organizations and nonprofits, focusing on transformational leadership and decision-making processes. Explore the structure of healthcare organizations, the roles of clinical professionals, the importance of quality improvement, fundraising and community partnerships, effective communication strategies, and advocacy in healthcare. This course combines theoretical knowledge with practical case studies for a comprehensive understanding of managing complex healthcare organizations.
AIDS: Fear and Hope
University of Michigan (via Coursera)
The basic biology of the virus, HIV, and the disease it causes, AIDS. The economic, social and political factors that determine who gets sick and who remains healthy, who lives and who dies. The progress of scientific research and medical treatments. The reasons for hope; the reasons for fear. (To get a glimpse of some of the materials that students have been posting on the course forums, go to @AIDSFAH or AIDSFAH.)
Instructional Methods in Health Professions Education
University of Michigan (via Coursera)
This course provides those involved in educating members of the health professions an asynchronous, interdisciplinary, and interactive way to obtain, expand, and improve their teaching skills. These skills can then be applied within their own professional context, with a variety of learners, extending across many stages. After completing this course, learners will: 1. Understand educational theory as it relates to health professions education 2. Match instructional methods with desired educational outcomes 3. Learn a variety of applied teaching techniques 4. Share successful teaching strategies Suggested resources will include educational videos, individual readings, recommended reference books, and crowd-sourced recommendations. All students should have dependable access to the internet with video streaming capabilities. Some students may want the ability to utilize on-line video conferencing as well.
Model Thinking
University of Michigan (via Coursera)
We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a be...
Applied Plotting, Charting & Data Representation in Python
University of Michigan (via Coursera)
This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.
Human Health Risks, Health Equity, and Environmental Justice
University of Michigan (via Coursera)
The fourth and final course of the Impacts of the Environment on Global Public Health specialization will cover two topics. The first is environmental justice – that is, avoiding an inequitable distribution of environmental health threats in our population, and ensuring a healthy and safe environment and health equity for all. The second is risk assessment and management, a framework that can be utilized to assess and quantify human health risks, and to identify appropriate approaches to mitigating those risks and promoting better health. We will explore the steps involved in risk assessment, as well as how risk assessment can incorporate and address environmental justice issues.
Dentistry 101
University of Michigan (via Coursera)
Dentistry 101 is an introduction to the exciting and diverse field of dentistry through the lens of its many practitioners. If you’re interested in exploring dentistry as a profession, or if you’re ready to pursue a career in it and want to prepare yourself for dental school and the profession that lies ahead, Dentistry 101 will help you better envision the paths you can take. If you complete Dentistry 101, you'll have a well-rounded introductory understanding of the field of dentistry, and you'll get glimpses of the profession that aren't always easily available. You'll also be better informed about, and more prepared for, the dental school admissions process if you choose to pursue it.
Tobacco & Nicotine: Public Health, Science, Policy, and Law
University of Michigan (via Coursera)
This course provides a strong foundation in the history of smoking and other tobacco and nicotine use; the individual and public health impact; tobacco use prevalence trends in adults, youth and key subpopulations; and how cigarette smoking came to be, and remains to this day, the leading preventable cause of death in the U.S. and globally, despite the fact that tobacco control efforts have collectively constituted one of the most successful public health endeavors in our history. The course also explores the role of the tobacco industry in the epidemic, as well as the pursuit of accountability and industry behavior change through legal action; the rapidly evolving tobacco and nicotine product marketplace; the unique and ever-changing regulatory and other policy challenges that have emerged; and the implications of this rapid change for public health today and in the future. The course features 18 experts in a range of tobacco control areas and issues. Through a series of lectures, interviews, readings, and assessments, the course tells the story of smoking and tobacco and nicotine product use, focusing on the specific - but not unique - story of the U.S., while also presenting important information and insights from elsewhere in the world. The content of this course is solely the responsibility of the authors and contributors and does not necessarily represent the official views of the NIH or the Food and Drug Administration. Cliff Douglas, the former lead instructor for this course, was, throughout the entire period of the development of the course and at the time of its launch (May 2023), the Director of the University of Michigan Tobacco Research Network (UMTRN), as well as a Co-investigator with the Center for the Assessment of Tobacco Regulations (CAsToR) at the University of Michigan, Georgetown University, and the British Columbia Cancer Research Institute. As of October 2023, he released his affiliations with UMTRN and CAsToR and became the Presiden...
Managing Talent
University of Michigan (via Coursera)
In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees. In addition, you will learn how to develop and coach your talent so that they can realize their full potential at work. Altogether, you will gain a thorough understanding of the complete cycle of managing talent and creating a robust talent pipeline for your team and organization. Managing and developing talent is one of the top 3 issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. This course will provide you with the insights, frameworks and tools to effectively manage and develop talent in your teams and organizations.
Applied Information Extraction in Python
University of Michigan (via Coursera)
In “Applied Information Extraction in Python,” you will learn how to extract useful information from free-text data, which is a type of string data created when people type. Examples of free-text data include names of people or organizations, location information such as cities and zip codes, or other elements like stock prices or clinical diagnoses. Free-text data is found everywhere, from magazine articles to social media posts, and can be complex to analyze. In this course, you’ll use applied machine learning and text-mining techniques to analyze free-text data. You will learn how to identify named entities and tag them with appropriate types of classifications, using real-world data from business, politics, and healthcare. You’ll develop multiple approaches to recognize and extract named entities and attributes of interest from free-text data, ranging from regular expressions to neural network models. Finally, you’ll explore Transformer models such as ChatGPT and Large Language Models to extract information from large datasets. This is the final course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the following courses from the Applied Data Science with Python Specialization: Introduction to Data Science in Python, Applied Machine Learning in Python, and Applied Text Mining in Python.
Innovations in Investment Technology: Artificial Intelligence
University of Michigan (via Coursera)
Explore the evolution of AI investing and online wealth management. Investing and managing your wealth online has never been easier, but how does AI investing work and what are the challenges? On this course, you’ll explore how technology has changed the way we invest money. You’ll consider the evolution of AI-driven online wealth management platforms, robo-advisors, and learn how they work and why they’re successful. Moving from human-based data-driven investing strategies to neural networks, you’ll assess the ability of artificial intelligence to make investment decisions and discover the role of AI and machine learning in making trading decisions.
디지털 민주주의의 명암
University of Michigan (via Coursera)
이 과정에서는 전자 투표 및 인터넷 투표의 보안 위협 및 향후 잠재적인 위협에 대해 시민들이 알아야 할 점에 대해 학습하게 됩니다. 우리는 선거 기술의 과거, 현재와 미래에 대해 살펴보고 컴퓨터 보안, 인적 요소, 공공 정책 등을 비롯하여 투표에 의해 나뉘는 여러 분야에 대해 알아볼 것입니다.
Generative Leadership: Inspiring Adaptability in an AI World
University of Michigan (via Coursera)
The world's best leaders inspire adaptability in the face of uncertainty. In "Generative Leadership: Inspiring Adaptability in the AI World," you will learn how to adopt a generative leader mindset in the fast-changing world of AI-driven change. Throughout the course, you will learn about generative leadership: a form of leading that creates unique, resourceful environments where employees thrive as they embrace challenge and change. You’ll also explore the principles of generative leadership and see how they are used in real-world organizations. Based on these principles, you’ll be challenged to identify ways you can put them into practice in your organization or workplace, allowing you to think deeply about your role as a generative leader. By gaining an understanding of generative leadership and using it to create greater flexibility in your work, you’ll be better prepared to stand out as a leader and provide a space that allows people to flourish during change.
Reigniting Employee Engagement
University of Michigan (via Coursera)
Welcome to Reigniting Employee Engagement with Professors J. Sanchez-Burks and Cheri Alexander. Engagement at work is tenuous at best. Stress and unhappiness remain elevated resulting in a myriad of challenges that limit the ability for us and others to thrive in our jobs. This course introduces three interactive levers, which can be used to reignite employee engagement. These levers include strategies and tools for surfacing what others care about, how to increase their confidence and ways to take better control of the comparisons that influence how we make sense of our environment. This course will use interactive tools, videos and animated vignettes to develop a strategic plan for using these levers in your work, and possibly in your personal life. This course aims to help you go forward with positive personal engagement in your lives, teams and organizations. We look forward to this partnership in learning and are excited to provide you with engaging content and stimulating exercises that will be fun and reflective.
Generative AI: Labor and the Future of Work
University of Michigan (via Coursera)
This course gives a broad overview of the impact that generative artificial intelligence (AI) could have on jobs and how it can be used to support everyday tasks. As the use of generative AI increases, organizations are finding new ways to augment their work, impacting the number and types of jobs we can expect in the future. In “Generative AI: Labor and the Future of Work,” you’ll explore how generative AI can support workers in all industries, as well as the labor that goes into developing and managing these systems. Explore what the “future of work” could mean for both employees and employers and how these systems can impact work quality, creativity, and the labor market. You’ll also look at how the global digital divide could impact tool adoption for different groups across the world. By analyzing the adoption and implementation of generative AI in the workplace, you will better understand how these tools could shift how we work together.
The Piano Sonata: Beethoven and the Romantics
University of Michigan (via Coursera)
In this course, learners will review sonata form and learn how the piano sonata was taken to new heights by Ludwig van Beethoven. We’ll discover together how the generation that followed interpreted Beethoven’s achievements and put them into practice in their own unique ways. From there, we will explore the “War of the Romantics”: the variety of formal structures for Romantic sonatas (both traditional and progressive) and the major repertoire of this era. You’ll hear some of the important pianos of the time, and understand the differences between Viennese and English/French traditions of piano music. This course was filmed at the University of Michigan School of Music, Theatre & Dance, among other locations, to showcase the depth of the sonata repertoire and the instruments that contributed to its history.
Influir en las personas
University of Michigan (via Coursera)
Este curso mejorará su capacidad para influir en las personas en situaciones en las que no puede usar autoridad formal. Aprenderá formas efectivas de construir, desarrollar y mantener una base de poder en su organización. También aprenderá tácticas de influencia que le permitirán ser más persuasivo e influyente al trabajar con sus superiores, compañeros e incluso subordinados. Además, aprenderá cómo construir y mantener relaciones de alta calidad para maximizar aún más su poder informal y su capacidad de influir en los demás. Es importante destacar que distinguirá entre influencia y manipulación y aprenderá a protegerse de la influencia no deseada de los demás. Las estrategias de influencia que aprenda en este curso lo convertirán en un líder, presentador y encargado de tomar decisiones más seguro e influyente. Será más efectivo a la hora de presentar ideas comerciales a sus superiores, influir en los clientes y crear coaliciones entre las partes interesadas. Este curso no solo le brindará orientación estratégica sobre cómo desarrollar y mantener su red de contactos para la influencia y el poder, sino que también le brindaremos tácticas y estrategias específicas que han demostrado funcionar para obtener poder e influir en las personas.
Sustainable Consumption and Health
University of Michigan (via Coursera)
This course is an introductory and foundational course on sustainable consumption and health. In the first part of this course, we briefly review definitions of sustainability and the relationship between the three dimensions of sustainability and the UN-Environment Sustainable Environment Goals (SDGs), target and indicators. We then look at frameworks, indicators and footprint requirements to adequately measure sustainability, offering the opportunity to the participants to assess their own carbon and environmental footprint and make recommendation on how to reduce it. We then address the theme of sustainable consumption, looking at our main domains of consumption and at the key conditions to reach sustainable consumption and avoid rebounds effects that tend to reduce the benefits of increased product efficiency. We finally look at "what is good enough" for a given product or activity, in relationship with absolute sustainability and planetary boundaries. In the second part focusing on health, we will first identify the main factors affecting health, define DALYs (disability-adjusted life years) as a key metric to measure health burden, and use the rich information made available by the Global Burden of Disease (GBD). We will then use the GBD visualization tool to quantify and compare the respective burdens associated with 70 risks factors and numerous disease causes, in every country of the world and even at the state level for the US. We finally analyze the health impact associated with global trade, evaluating the fraction of the health impacts due to fine particulate in Asia, that are induced by Western consumption.
The Piano Sonata: Origins to Mozart
University of Michigan (via Coursera)
In this course, you’ll be introduced to sonata form; how it works, where it came from, and how sonatas are put together as multi-movement compositions. We will analyze the early history of the piano sonata and discover the important early masters of this style (Scarlatti, CPE Bach, Haydn, and Mozart). You’ll then investigate the relationship between the keyboard instruments of the time and the musical style, and be able to differentiate between Baroque, Galant, and Classical styles. This course was filmed at the University of Michigan School of Music, Theatre & Dance, among other locations, to showcase the depth of the sonata repertoire and the instruments that contributed to its history.
Translating Research to Healthcare Policy
University of Michigan (via Coursera)
In this course, you will learn about the process of evaluating the real-world outcomes of health research. You will learn important terminology and concepts as you explore how the outcomes of health research can influence health policy and practice. The readings, videos, and activities in this course should be completed in the order they are presented to ensure that you will have the best learning experience possible. This course will be of interest to graduate students, health professions students, scientists, public health professionals, and others conducting or planning a career in translational research. This is the final course in the “Translational Science” series.
Beyond the Sustainable Development Goals (SDGs): Addressing Sustainability and Development
University of Michigan (via Coursera)
We’re excited you’re here! This course, “Beyond the Sustainable Development Goals (SDGs): Addressing Sustainability and Development,” is the first course in the Sustainability and Development MasterTrack® Certificate, but you can also take this course as a stand-alone learning opportunity. Sustainability and development pose unprecedented challenges as human societies grow and seek to ensure future wellbeing and prosperity. In this course, we’ll focus on addressing the twin challenges of sustainability and development with actionable knowledge for innovating solutions to the world’s most pressing problems like climate change, poverty and inequality, and biodiversity loss and ecosystem degradation. Rather than sustainability being a qualifier for development (e.g. sustainable development), we conceptualize Sustainability and Development as co-equal fields of inquiry and action that seek to build bridges between the natural, social and applied sciences and the humanities. When sustainability and development are placed on an equal footing, it requires us to think more explicitly about the trade-offs, co-benefits and synergies between them, which we will be exploring in depth in each week. Throughout the course, you will be introduced to the theoretical currents in Sustainability and Development, and will garner an in-depth understanding of the United Nations’ 17 Sustainable Development Goals (SDGs). We will also consider the methods and skills necessary for designing innovative solutions to sustainability and development problems through the emerging field of Sustainability Science. In this course, we will explore three of the most pressing challenges undergirding the Sustainable Development Goals (SDGs) including climate change, poverty and inequality, and ecosystem degradation and biodiversity loss, with case studies to guide and challenge our thinking. In the final week of the course, we will discuss the trade-offs, co-benefits and synergies between these chall...
GenAI in Business: Planning Framework for Implementation
University of Michigan (via Coursera)
In this course, you’ll learn how to identify the right business problems where generative AI can deliver the greatest value. We’ll guide you through the process of articulating these problems in terms of pain points and value levers, ensuring clarity for all stakeholders. Throughout each lesson, you’ll gain the main skills needed to “plan” your artificial intelligence acquisition, the second phase of the “See, Plan, Act” framework introduced in the “Generative AI in Business” series. With the problem defined, we’ll align it with the specific abilities your generative AI solution needs and help you choose the right technology and solution type. Finally, you’ll develop a three-step roadmap to organize your data, evaluate its quality and readiness, and select the best approach to integrate it into your AI solution. By the end of the course, you’ll have a detailed blueprint for your generative AI solution, a clear understanding of the data you need, and a strategy for integrating it effectively into your business. This is the second course in the “Generative AI in Business,” a course series for business professionals interested in using generative AI to support, enhance, and amplify the work of their organizations.
The History of Rocket Science
University of Michigan (via Coursera)
Modern rocket design started amidst World War II, pushing the boundaries of what rocketry was capable of. In The History of Rocket Science, you’ll gain a deeper understanding of this complicated history and discuss key advancements, like the creation of the V2 rocket. Examine the ramifications of the advancements of rocket science from a historical and societal perspective, going beyond the technological advancements during the war. This course also explores the Cold War, culminating in the United States’ creation of the Apollo 11 — the pivotal creation that landed the U.S. on the moon. Round out the course by getting a first-hand look at space shuttles, space stations, space tourism, and how companies are opening up space exploration.
Breastfeeding: Public Health Perspectives
University of Michigan (via Coursera)
Engaging in this course will provide you with the opportunity to think about breastfeeding and its public health implications. The Socio-Ecological Model will be the framework of the course as we think about how each level of the Model (individual, interpersonal, community, organizational, and public policy) impacts breastfeeding practices in the United States, and globally. Through short video lectures you will be introduced to relevant topics related to the public health perspectives of breastfeeding such as the maternal and child short- and long-term health benefits, economic and environmental impacts, the state of health profession curricula surrounding breastfeeding education, and breastfeeding practices of the LGBTQ+ community. You will apply this knowledge to critique breastfeeding literature, create a breastfeeding budget for a particular breastfeeding parent persona, and design an education material to promote breastfeeding. As you complete this course, you should feel confident in identifying the barriers to successful breastfeeding practices and understand how adequate breastfeeding will impact population health.
Brilliant, Passionate You
University of Michigan (via Coursera)
This course is an interdisciplinary look at how we can make each day the best day of our lives by examining the question, “How can you be your most brilliant, passionate self?” You will be joined on this journey by our animated host, Lewis! You will envision your “perfect day” and then slowly deconstruct the elements of that day to better understand key elements such as finding your purpose, defining success, mental and physical health, the importance of community, and navigating risks and challenges. In addition, you will hear stories from a diverse array of individuals, including students, doctors, teachers, professional storytellers, professional athletes, coaches, and others sharing their own journeys, communities, and sources of inspiration. Finally, you will participate in the What’s Your Purpose? Project, utilizing storytelling techniques to share your own purpose and inspire other members of this global learning community to pursue theirs.
Generative AI in the Workplace: Policies, Ethics, and Risks
University of Michigan (via Coursera)
As generative AI finds its place in contemporary organizational practices, it’s important for leaders and workers alike to understand the risk involved with using these systems. In “Generative AI in the Workplace: Policies, Ethics, and Risks,” you’ll consider the hurdles that need to be navigated for effective AI adoption. In this course, you will learn how to identify when uses of AI are appropriate, and better understand challenges in AI ethics and the law. You’ll also explore the transparency of AI algorithms and where the technology is headed in the future. This is the fourth course in “Navigating Disruption: Generative AI in the Workplace,” a course series on ways to respond to new advances in artificial intelligence in the workplace and our lives.
Using Databases with Python
University of Michigan (via Coursera)
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
Strategizing the Use of Generative AI in Learning Design
University of Michigan (via Coursera)
In "Strategizing the Use of Generative AI in Learning Design," you’ll explore how learning designers can partner with various stakeholders to use generative AI responsibly during design. A policy expert will discuss important considerations for learning professionals integrating generative AI into their processes. You’ll determine the strengths and limitations of generative AI for use within design projects and learning situations. Finally, you’ll develop a strategy for using a custom GPT. This is the final course in the series "Generative AI as a Learning Design Partner," which introduces generative AI to the learning design process to support the creation of engaging instructional design. For educators in the state of Michigan: This series, "Generative AI as a Learning Design Partner," is approved in the state of Michigan for a maximum of 15 State Continuing Education Clock Hours (SCECHs) for educators. The successful completion of all 3 courses in the series will be required to claim SCECHs.
Healthcare Quality Improvement and Decision-Making
University of Michigan (via Coursera)
Driving meaningful change requires healthcare leaders who can identify the key decisions necessary to turn these goals into reality. “Healthcare Quality Improvement and Decision-Making” gives you the tools to develop quality improvement initiatives and drive a culture of safety and high reliability in healthcare organizations. You'll master key concepts around quality improvement and learn to think decisively about developments within your organization, team, and healthcare more broadly. Additional key concepts include a culture of safety, where you will dive into key methodologies to ensure that, as a leader, you are developing a welcoming and innovative environment. The course features a range of activities designed to help you apply your learning, including creating project charters, analyzing errors in a healthcare case study, exploring the most efficient project management methods, and conducting a plan-do-study-act analysis. Through applied learning, case study application, and culture of safety learning, you'll sharpen your ability to question, plan, and improve quality effectively in the healthcare sector. This is the third course in “Leadership for Healthcare Professionals” Specialization, a course series designed to help professionals in all healthcare roles sharpen their leadership skills and advance their careers.
Measuring Total Data Quality
University of Michigan (via Coursera)
By the end of this second course in the Total Data Quality Specialization, learners will be able to: 1. Learn various metrics for evaluating Total Data Quality (TDQ) at each stage of the TDQ framework. 2. Create a quality concept map that tracks relevant aspects of TDQ from a particular application or data source. 3. Think through relative trade-offs between quality aspects, relative costs and practical constraints imposed by a particular project or study. 4. Identify relevant software and related tools for computing the various metrics. 5. Understand metrics that can be computed for both designed and found/organic data. 6. Apply the metrics to real data and interpret their resulting values from a TDQ perspective. This specialization as a whole aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. We sincerely hope to disseminate knowledge about total data quality to all learners, such as data scientists and quantitative analysts, who have not had sufficient training in the initial steps of the data science process that focus on data collection and evaluation of data quality. We feel that extensive knowledge of data science techniques and statistical analysis procedures will not help a quantitative research study if the data collected/gathered are not of sufficiently high quality. This specialization will focus on the essential first steps in any type of scientific investigation using data: either generating or gathering data, understanding where the data come from, evaluating the quality of the data, and taking steps to maximize the quality of the data prior to performing any kind of statistical analysis or applying data science techniques to answer research questions. Given this focus, there wi...
Liderar equipes
University of Michigan (via Coursera)
Neste curso, você aprenderá como construir sua equipe, melhorar o trabalho em equipe e a colaboração e sustentar o desempenho da equipe por meio de aprendizado e melhoria contínuos. Especificamente, você aprenderá as melhores práticas para compor uma equipe e alinhar as metas individuais e da equipe. Você também aprenderá como estabelecer funções, criar estruturas e gerenciar a tomada de decisões para que sua equipe se sobressaia. Este curso também ajudará você a gerenciar processos críticos da equipe, como solucionar conflitos e construir confiança que têm um impacto profundo no desempenho da sua equipe. Você discutirá algumas das melhores formas de aproveitar o potencial produtivo das equipes, enquanto reduz os riscos e as armadilhas do trabalho em equipe. Na organização moderna, a maior parte do trabalho é feita em equipes, mas os resultados do trabalho em equipe são excepcionalmente mistos. Muitas equipes são mal projetadas e estruturadas, repletas de conflitos disfuncionais, problemas de coordenação de experiências e sérios desafios de motivação. Como resultado, muitas equipes não conseguem perceber o seu potencial e, frequentemente, têm baixo desempenho, até mesmo em indivíduos que trabalham em tarefas semelhantes. Depois de concluir este curso, você adquirirá um conjunto de ferramentas e práticas que permitirão que você configure, execute, avalie e melhore continuamente sua equipe de forma eficaz. Esses insights tornarão você um líder de equipe mais eficaz, e também um colaborador de destaque ao estabelecer equipes.
Debugging: Hunting and Squashing Bugs
University of Michigan (via Coursera)
Learning how to debug is the most valuable skill to develop as you learn to program. This four-week course from the University of Michigan will help you improve your programming ability by providing you with the skills you need to understand and debug code. What’s more, you’ll learn the crucial techniques to help minimize mistakes and problems in your code. Most modern development environments contain a debugger, which you can use to find bugs and understand what is happening in your code. However, many people still rely on print statements when they debug. This course will help you gain confidence in using debuggers, so you can spend less time seeking out and fixing bugs and focus on building exciting new programming projects. The majority of coding errors occur when the programmer doesn’t understand the code or makes mistakes with the language, resulting in bugs. In this course, you’ll gain the knowledge and skills needed to spot and solve semantic and syntax errors more easily. You’ll also streamline your coding process by learning to write and run unit tests to examine and check your code. This course is designed for those interested in developing their Python skills or communicating with other programmers in a professional setting.
Statistics with Python Using NumPy, Pandas, and SciPy
University of Michigan (via Coursera)
“Statistics with Python Using NumPy, Pandas, and SciPy” explores how to apply statistical and mathematical techniques to data science problems. Throughout the first half of the course, you’ll work on reviewing vector dot products, interpreting text as vectors, and matrix multiplication. You’ll also explore the basics of probability, laying the groundwork for statistical analysis. In the second half, you’ll cover how to interpret data distributions, reason about probability, explore the special properties of normal distributions, understand linear relationships in data, and the connection between probability and uncertainty. This is the third course in the four-course series “Data-Oriented Python Programming and Debugging,” where you’ll work to strengthen your programming capabilities and enhance your problem-solving skills.
The Nurse's Toolkit
University of Michigan (via Coursera)
The Nurse’s Toolkit will introduce learners to various life-saving nursing skills and interventions. Learn critical life-saving concepts and skills related to airway management, trauma, immobilization and splinting, sepsis management, wound care, and obstetrical emergencies. This course also integrates augmented reality into two modules: airways and immobilization, and splinting. The augmented reality will be powered through the learner’s mobile device via a web-based tool that will provide simulations and test learners’ knowledge of the material.
Applied Machine Learning in Python
University of Michigan (via Coursera)
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.
Personnes, technologie et futur de la mobilité
University of Michigan (via Coursera)
Bienvenue dans le cours Personnes, technologie et futur de la mobilité !Destiné aux débutants, ce cours permettra de découvrir certaines des principales innovations technologiques en cours de développement dans le secteur de la mobilité. Il demandera également aux étudiants de mettre en pratique divers concepts issus des sciences sociales afin de comprendre les répercussions sociales probables de ces technologies. Adapté aux étudiants de tous horizons, ce cours ne nécessite pas de formation préalable en ingénierie ni en sciences sociales. Le contenu qu’il présente s’appuie sur un certain nombre d’entretiens et de conférences et a été créé par le biais d’un partenariat avec Siemens. Le cours comprend également une expérience vidéo interactive à 360° qui permet aux étudiants d’explorer les principaux systèmes équipant un véhicule autonome, de prendre place à bord d’une voiture autonome et d’en apprendre davantage sur les nouvelles technologies de détection qui pourraient voir le jour dans les villes intelligentes d’aujourd’hui et de demain. Il invitera les étudiants à envisager une mobilité du futur plus sûre, plus propre et plus équitable. Nous examinerons les progrès technologiques récents ainsi que les implications socio-économiques et politiques pour deux grands secteurs technologiques en évolution en ce qui concerne la mobilité : l’électrification et l’automatisation.
Equitable Stage Makeup and Hair
University of Michigan (via Coursera)
Go beyond the limitations of mainstream courses and gain a broad overview of inclusive makeup and hair practices, regardless of your experience level. Equitable Stage Makeup and Hair offers highly detailed videos and in-depth practice guides to train you on applying makeup for all skin tones and ways to prepare wigs for a variety of different hair textures. Designed to propel forward your skills, training in applying makeup for all skin tones, and wig preparation for a variety of hair textures, you will learn techniques for applying natural makeup for both on stage and camera, and aging makeup. The course allows you to tailor your learning experience based on your own makeup and hair needs with additional modules on trauma makeup, special effects makeup, or drag makeup. Makeup application techniques are supported by lessons in facial anatomy, color theory, character analysis, and personalized makeup worksheet demonstrations. Hear from renowned makeup artists, performers, and drag queens to learn from their experience in the entertainment and theater industries. By learning inclusive methods of hair and makeup, you can work to build more equitable spaces for everyone.
Intermediate PostgreSQL
University of Michigan (via Coursera)
This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database. You’ll also take a look at how PostgreSQL handles and indexes text data. Specifically, students will do assignments that alter table schemas, create stored procedures, construct advanced queries, explore sorting and grouping query data, and techniques for working with text in databases including regular expressions.
Introduction to Structured Query Language (SQL)
University of Michigan (via Coursera)
In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.
Generative AI: Fundamentals, Applications, and Challenges
University of Michigan (via Coursera)
The rapidly evolving landscape of generative artificial intelligence (AI) means that both novice and skilled users alike should be aware of the proper applications and challenges of these powerful tools. In “Generative AI: Fundamentals, Applications, and Challenges,” you’ll discuss the potential benefits, uses, and challenges of a variety of applications for generative AI. Explore the impact these tools could have on business, operations, consumers, society, and the environment. Aspects of the course also dive into the general risks associated with this technology, including issues such as copyright infringement, outdated data, malicious attack surfaces, bias, and more. Throughout this course, you'll gain a strong baseline of knowledge for generative AI, one that will allow you to explore further considerations about its impact on businesses and society.
Uso de bases de datos con Python
University of Michigan (via Coursera)
Este curso presentará a los estudiantes los conceptos básicos del lenguaje de consulta estructurado (Structured Query Language, SQL), así como el diseño básico de bases de datos para almacenar datos como parte de una iniciativa de varios pasos para recopilar, analizar y procesar datos. El curso utilizará SQLite3 como base de datos. También crearemos rastreadores web y procesos de visualización y recopilación de datos de varios pasos. Utilizaremos la biblioteca D3.js para realizar la visualización básica de datos. Este curso abarcará los capítulos de 14 y 15 del libro “Python para todos”. Para que le vaya bien en este curso, debe estar familiarizado con el material cubierto en los capítulos 1 a 13 del libro de texto y los primeros tres cursos de esta especialización. Este curso abarca Python 3.
Anatomy: Musculoskeletal and Integumentary Systems
University of Michigan (via Coursera)
In this anatomy course, part of the Anatomy Specialization, you will learn how the components of the integumentary system help protect our body (epidermis, dermis, hair, nails, and glands), and how the musculoskeletal system (bones, joints, and skeletal muscles) protects and allows the body to move. You will engage with fascinating videos, lectures, and anatomical visual materials (illustrations and cadaveric images) to learn about these properties and functions.
Network Modeling and Analysis in Python
University of Michigan (via Coursera)
In “Network Modeling and Analysis in Python,” you will learn how different types of network analysis can be used to make sense of complex systems. You’ll learn how algorithms can be used to better understand disease epidemics, human community structure, and the flow of information on social media. This course combines network theory with empirical analysis of real-world networks using the Python library NetworkX. You’ll learn about community structure in networks as well as several popular algorithms for community detection and applications. This course introduces a wide range of advanced network models. You’ll study random network generation models and how they can be used to create realistic graphs and explain how networks function. You’ll also learn about models that explain diffusion and the spread of epidemics in networks, such as the SI, SIS, SIR, independent cascade, and linear threshold models. This is the third course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the Applied Data Science with Python specialization prior to beginning this course.
AI for Lawyers: Communication and Creativity
University of Michigan (via Coursera)
Learn two essential skills needed whenever you have a client to represent or a cause to champion: communication and creativity. This course is the second in the four-part series “AI for Lawyers and Other Advocates.” In it, you will learn how AI can help you write better and how AI can help you speak better. You will also learn how to avoid a danger that can come when you rely too heavily on AI: going on intellectual autopilot and letting your own creativity and problem-solving skills atrophy.
Act on Climate: Steps to Individual, Community, and Political Action
University of Michigan (via Coursera)
Are you concerned about climate change? Would you like to learn how to address and respond to this challenge? If so, this course is for you. Act on Climate: Steps to Individual, Community, and Political Action is intended to help learners understand, address and respond to climate change as individuals and in partnership with their communities and political leaders. The course focuses on how to translate learning into action on climate change in the areas of food, energy, transportation and the built environment (cities). This course was co-developed and taught by Michaela Zint, Professor of Environmental Education and Communication, and University of Michigan Students. A range of academic climate change experts and professional leaders are featured. As a result of completing this course, you will be able to: 1) Identify individual, community, and political actions you can engage in to effectively address and respond to climate change. 2) Describe how insights from the social sciences can be employed to create change at the individual, community, and political levels. 3) Feel empowered to continue to influence how you, your community, and political leaders address and respond to climate change. Use UMichActonClimate on social media to share what you're doing and connect with other learners.
AI Basics and Tools for Creativity
University of Michigan (via Coursera)
Learn how to use artificial intelligence tools in your creative work. “AI Basics and Tools for Creativity” explores AI’s application to music and design along with a more general overview of the contemporary landscape of generative AI technologies. Analyze your work habits, enjoy hands-on experiences using different AI tools, view expert lectures, and engage in reflective writing that helps frame your engagement with AI tools. You will also learn how to identify AI-generated media, explore the limits of AI tools, and reflect on your preconceptions of AI. In addition to hearing from the primary instructors, learners will also hear from expert practitioners Adam Kunz and Aly Amedei, who use AI in their design practices. With this course, you will establish a strong foundation for how to apply AI in your creative work. This is the first course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.
Using Python to Access Web Data
University of Michigan (via Coursera)
This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
사람, 기술, 모빌리티의 미래
University of Michigan (via Coursera)
사람, 기술, 모빌리티의 미래 강좌에 오신 것을 환영합니다! 이 강좌는 모빌리티 분야에서 현재 활용하고 있는 주요 기술 혁신 중 일부를 일반인을 대상으로 소개하고, 학습자가 이러한 기술의 사회적 영향을 이해할 수 있도록 다양한 사회과학적 개념을 적용해 보도록 지원합니다. 모든 분야의 학습자가 수강할 수 있으며, 공학 또는 사회과학 분야에 대한 사전 교육을 받지 않아도 됩니다. 이 강좌에서 소개되는 콘텐츠는 여러 인터뷰와 강의를 바탕으로 Siemens와의 파트너십을 통해 제작되었습니다. 이 강좌에는 학습자가 자율주행 자동차 주요 구성 요소를 살펴보고, 자율주행 자동차를 타고 이동하며, 현재와 미래의 스마트 시티에서 볼 수 있는 새로운 감지 기술에 대해 알아볼 수 있는 대화형 360도 비디오 경험도 포함되어 있습니다. 학습자는 이 강좌를 통해 더 안전하고 깨끗하며 형평성을 갖춘 미래 모빌리티를 상상해 볼 수 있습니다. 모빌리티 분야에서 발전하고 있는 두 가지 주요 기술 부문인 전동화와 자동화의 최근 기술 발전과 사회 경제적, 정책적 영향을 살펴보겠습니다.
Envisioning Educational Transformation
University of Michigan (via Coursera)
Envisioning Educational Transformation supports aspiring change agents in moving beyond the status quo by building new ambitions for educational access, quality, and equity in their local contexts, with a specific focus on identifying relationships among global, national, and local agendas for systems transformation. You will engage with leading policymakers and researchers to understand global and national policy discourses about educational transformation, and you will collaborate with course colleagues in cross-national comparisons of ambitions for educational access, quality, and equity to fuel your creativity and motivation. You’ll then engage in local systems analyses and lead a local “visioning conversation” with the aim of building shared ambitions for educational transformation in your local context.
Django Features and Libraries
University of Michigan (via Coursera)
In this course, you will learn how to build Django-based web applications suitable for use by end users. You will learn about cookies, sessions, and authentication processes in Django. You will build navigation into your applications and explore ways to easily improve the look and feel of Django applications. You will begin to develop a simple application to support a classified ads website that will walk you through many of the issues and techniques that you encounter in website development. You will also learn how to move an application from development to production.
Python بُنى بيانات
University of Michigan (via Coursera)
ستقدم هذه الدورة التدريبية بُنى البيانات الأساسية للغة برمجة Python. وسوف نتجاوز أساسيات البرمجة الإجرائية ونستكشف الكيفية التي يمكننا من خلالها استخدام بُنى بيانات Python المضمَّنة، مثل القوائم والقواميس والمجموعات لإجراء تحليل معقد بشكل متزايد للبيانات. ستغطي هذه الدورة التدريبية الفصول من 6 إلى 10 من كتاب «Python للجميع» النصي. وستغطي هذه الدورة التدريبية Python 3.
Generative AI: Impact on Business and Society
University of Michigan (via Coursera)
Generative artificial intelligence (AI) systems can have a range of impacts on both business and society. In “Generative AI: Impact on Business and Society,” you’ll consider the social and technological aspects of these systems to evaluate how they may impact the way we adopt, trust, or work with these tools. This course builds on your knowledge of the benefits, challenges, and potential risks of AI as we begin integrating these tools into our organizations or communities. It includes considerations relevant to business operations, impact on consumers, as well as wider implications for citizens, public safety, and the environment. By the end of this course, you’ll be able to evaluate the global and local implications specific to generative AI systems for informed decision-making in your role.
Advanced Concepts in Time Value of Money (TVM)
University of Michigan (via Coursera)
This course builds upon the fundamental concept of Time Value of Money (TVM) using more advanced applications and questions. You will apply the TVM concept in real-life problems of financial planning and saving for college. You will also learn more about loans and apply TVM concepts to borrowing and lending. You will realize that — while the applications are seemingly more complex, but when seen and broken-up into bite-size components — the framework, principles, and tools remain the same. After completing this course you will have an understanding of the detailed mechanics and reasoning behind any decision you make that has consequences for the future. The deeper exposure to financial transactions you will be applicable in any/all decisions. The great news is that these concepts and skills will transfer to your professional/business decisions. This course is part of the four-course Foundational Finance for Strategic Decision Making Specialization.
Understanding and Visualizing Data with Python
University of Michigan (via Coursera)
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling. At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.
Successful Negotiation: Essential Strategies and Skills
University of Michigan (via Coursera)
We all negotiate on a daily basis. On a personal level, we negotiate with friends, family, landlords, car sellers and employers, among others. Negotiation is also the key to business success. No business can survive without profitable contracts. Within a company, negotiation skills can lead to your career advancement. I hope that you will join the hundreds of thousands of learners who have made “Successful Negotiation” one of the most popular and highly-rated MOOCs worldwide. In the course, you’ll learn about and practice the four steps to a successful negotiation: (1) Prepare: Plan Your Negotiation Strategy (2) Negotiate: Use Key Tactics for Success (3) Close: Create a Contract (4) Perform and Evaluate: The End Game To successfully complete this course and improve your ability to negotiate, you’ll need to do the following: (1) Watch the short videos (ranging from 5 to 20 minutes). The videos are interactive and they include questions to test your understanding of negotiation strategy and skills. You can speed up or slow down videos to match your preferred pace for listening. Depending on your schedule, you can watch the videos over a few weeks or you can binge watch them. A learner who binge-watched the course concluded that “It’s as good as Breaking Bad.” Another learner compared the course to “House of Cards.” Both shows contain interesting examples of complex negotiations! (2) Test your negotiation skills by completing the negotiation in Module 6. You can negotiate with a local friend or use Discussions to find a partner from another part of the world. Your negotiation partner will give you feedback on your negotiation skills. To assist you with your negotiations, I have developed several free negotiating planning tools that are related to the course. These tools and a free app are available at http://negotiationplanner.com/ . The course also includes an opportunity to use an interactive experience where you can test your negotiation skills before startin...
Muestreo de personas, redes y registros
University of Michigan (via Coursera)
Para hacer una buena recopilación de datos se necesitan buenas muestras. Pero las muestras pueden elegirse de muchas maneras. Pueden ser selecciones fortuitas o convenientes de personas, registros, redes u otras unidades, pero uno se cuestiona la calidad de tales muestras, especialmente cómo se relacionan estos métodos de selección con el hecho de sacar buenas conclusiones sobre una población tras la recopilación y el análisis de los datos. Las muestras pueden seleccionarse con más cuidado según el criterio del investigador, pero entonces uno se pregunta si ese criterio puede estar sesgado por factores personales. Las muestras también pueden extraerse de forma estadísticamente rigurosa y meticulosa, utilizando métodos de selección y control aleatorios para proporcionar una sólida representación y costos controlados. Este último tipo de muestras es el que se analizará en este curso. Examinaremos el muestreo aleatorio simple que puede utilizarse para el muestreo de personas o registros, el muestreo por conglomerados que puede utilizarse para el muestreo de grupos de personas, registros o redes, la estratificación que puede aplicarse a las muestras aleatorias simples y por conglomerados, la selección sistemática y las muestras estratificadas multietapa. El curso concluye con una breve descripción de cómo estimar y resumir la incertidumbre del muestreo aleatorio.
Sleep: Neurobiology, Medicine, and Society
University of Michigan (via Coursera)
The objective of this course is to give students the most up-to-date information on the biological, personal, and societal relevance of sleep. Personal relevance is emphasized by the fact that the single best predictor of daytime performance is the quality of the previous night's sleep. The brain actively generates sleep, and the first section of the course is an overview of the neurobiological basis of sleep control. The course provides cellular-level understanding of how sleep deprivation, jet lag, and substances such as alcohol, ,caffeine, and nicotine alter sleep and wakefulness. The second section of the course covers sleep-dependent changes in physiology and sleep disorders medicine. Particular emphasis will be placed on disorders of excessive sleepiness, insomnia, and sleep-dependent changes in autonomic control. Chronic sleep deprivation impairs immune function and may promote obesity. Deaths due to all causes are most frequent between 4:00 and 6:00 a.m., and this second section of the class highlights the relevance of sleep for preventive medicine. The societal relevance of sleep will be considered in the final section of the class. In an increasingly complex and technologically oriented society, operator-error by one individual can have a disastrous negative impact on public health and safety. Fatigue-related performance decrements are known to have contributed as causal factors to nuclear power plant failures, transportation disasters, and medical errors.
투자 기술의 혁신: AI
University of Michigan (via Coursera)
"인공지능 투자와 온라인 자산 관리의 진화에 대해 배워보세요. 온라인 투자 및 자산 관리가 전에 없이 쉬워졌는데, 과연 인공지능 투자가 제대로 작동할까요? 어떤 문제점이 있을까요? 이 강좌에서는 기술이 우리가 투자하는 방식을 어떻게 바꿔놓았는지 알아볼 거예요. 인공지능 기반 온라인 자산 관리 플랫폼과 로보어드바이저의 원리에 대해 알아보고, 왜 성공적인지 생각해 봅시다. 인간 기반 데이터 중심의 투자 전략에서 신경망 전략으로 넘어가, 인공지능의 투자 결정 능력을 평가하고 거래 결정을 내릴 때 인공지능 및 머신 러닝이 어떤 역할을 하는지 알아봅시다."
Python استخدام قواعد البيانات مع
University of Michigan (via Coursera)
سيتعرف الطلاب خلال هذه الدورة على أساسيات لغة الاستعلام البنوية (SQL) وتصميم قاعدة البيانات الأساسية لتخزين البيانات كجزءٍ من جمع البيانات متعددة الخطوات وتحليلها ومعالجتها. تستخدم الدورة التدريبية SQLite3 قاعدة بيانات لها. نعمل أيضًا على إنشاء متتبعات الويب وعمليات جمع البيانات متعددة الخطوات وتصورها. نستخدم مكتبة D3.js لإجراء تصور البيانات الأساسية. تتناول هذه الدورة الفصلين 14 و15 من كتاب "Python for Everybody". كي تجتاز هذه الدورة، ينبغي أن تكون على دراية بالمواد المذكورة في الفصل الأول إلى الفصل 13 من الكتاب الدراسي والدورات الثلاث الأولى في هذا التخصص. تتناول هذه الدورة Python 3.
Inspiring and Motivating Individuals
University of Michigan (via Coursera)
In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. Motivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.
Environmental Economics
University of Michigan (via Coursera)
Environmental economics is a powerful and comprehensive approach to understanding, assessing, and addressing the world’s most pressing environmental and sustainability challenges. This course, “Environmental Economics,” provides training in the principles, conceptual frameworks, and applications of environmental economics. The course will help you develop and analyze climate policy and energy policy, and assess sustainability policy and practice. You will begin by exploring the key concepts of the sustainability economy, including market failures and externalities, like CO2 emissions into the atmosphere. Learn how to use tools like benefit-cost analysis, time discounting, and environmental policy instruments to make strategic decisions in your role. Additional topics covered include the economic valuation of nonmarket environmental goods and services, specific policy instruments like CO2 cap-and-trade programs, time discounting for intertemporal decision-making, benefit-cost analysis of environmental regulations, the global energy transition to renewables, and global climate policy. By understanding both sustainable and unsustainable economic practices and activities, you’ll learn to make policy and financial decisions that have positive impacts on our planet and your organization. This is the first course in “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal
University of Michigan (via Coursera)
This third course in the XR for Everybody specialization is geared toward the technical development of XR experiences. The course provides learners with a more technical mental model of XR technologies and the tools to approach XR development with confidence. It walks through the stages of development for both VR and AR projects, introducing the main XR development platforms as well as the key methods and tools. This third course also helps learners infer advanced XR requirements from physical/digital prototypes and teaches them how to differentiate major technical concerns, estimate development costs, and plan research necessary to advance XR. This course also has an honors track that guides learners in the implementation of 3D, VR, and AR scenes in WebXR using A-Frame and in Unity, and helps them generate a development plan with clear milestones and deliverables.
Introduction to Machine Learning in Sports Analytics
University of Michigan (via Coursera)
In this course students will explore supervised machine learning techniques using the python scikit learn (sklearn) toolkit and real-world athletic data to understand both machine learning algorithms and how to predict athletic outcomes. Building on the previous courses in the specialization, students will apply methods such as support vector machines (SVM), decision trees, random forest, linear and logistic regression, and ensembles of learners to examine data from professional sports leagues such as the NHL and MLB as well as wearable devices such as the Apple Watch and inertial measurement units (IMUs). By the end of the course students will have a broad understanding of how classification and regression techniques can be used to enable sports analytics across athletic activities and events.
Introduction to Socially Engaged Design
University of Michigan (via Coursera)
Engineering courses often focus on technical skills and processes, leaving students with few examples of how to apply these skills in the real world. With "Introduction to Socially Engaged Design," you'll learn about this essential engineering and design framework, strengthening the connection between your work and its impact on individuals, societies, and the environment. Developed by expert faculty at the University of Michigan, the Socially Engaged Design model shows engineers and designers to explore the broader societal implications, outcomes, and potential unintended consequences early in the product design process. You'll learn to explore, develop, and iterate on your solutions to make equitable, evidence-based decisions. You will better understand how your experiences shape your work and explore how power, privilege, identities, and cultural contexts can shape your approach and impact. The course draws heavily on real-world examples of product design solutions that enhanced and deterred the progress of individuals and communities. In addition to these concepts, you'll learn how to effectively work with stakeholders to bring a design solution to life. By understanding design solutions' economic, social, and environmental impacts, you can develop better product and engineering design solutions for current and future generations.
Social Work Practice: Advocating Social Justice and Change
University of Michigan (via Coursera)
In this course, you will learn how social workers in the United States engage in creating change and supporting the resilience of individuals, families and communities in this new era. Learners will have an opportunity to explore the social work profession, the different roles of social workers in a range of settings, the cross cutting themes that guide social work practice, the history of social work, and current challenges. Using a social justice lens, learners will reflect on current challenges facing the lives of individuals, families and communities and examine ways to advocate for needed changes. This course can be taken as a stand-alone learning experience or as part of the "Social Work: Practice, Policy, and Research MasterTrack Certificate Program."
Mindware: Critical Thinking for the Information Age
University of Michigan (via Coursera)
Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life. What kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.
Programming in C
University of Michigan (via Coursera)
C remains one of the most popular languages thanks to its portability and efficiency, and laying the groundwork for many programming languages like C++, Java, JavaScript, and Python. In this course, you’ll dive deeper into the syntax of C, learning the functions of the language and how to properly apply them within an algorithm. Identify types, operators, and expressions within C to build recursive functions and examine the role of the C preprocessor in achieving software portability.
Persone, tecnologia e futuro della mobilità
University of Michigan (via Coursera)
Ti diamo il benvenuto al corso Persone, tecnologia e futuro della mobilità. Questo corso fornisce un'introduzione non specialistica ad alcune delle principali innovazioni tecnologiche nello spazio della mobilità attualmente oggetto di studio e richiede agli studenti di applicare una varietà di concetti delle scienze sociali per comprendere i probabili impatti sociali di queste tecnologie. Il corso è adatto a studenti di ogni ambito di studi e non richiede una formazione preliminare in ingegneria o scienze sociali. Il contenuto presentato in questo corso si basa su una serie di interviste e conferenze ed è stato creato attraverso una partnership con Siemens. Il corso include anche un'esperienza video interattiva a 360° che consente agli studenti di scoprire i componenti chiave di un veicolo autonomo, di guidarlo e di conoscere la nuova tecnologia di rilevamento che potremmo vedere nelle città intelligenti di oggi e domani. Questo corso sfida gli studenti a immaginare una mobilità del futuro che sia più sicura, più pulita e più equa. Esamineremo i recenti progressi tecnologici, nonché le implicazioni socio-economiche e politiche, di due importanti spazi tecnologici in evoluzione legati alla mobilità: l'elettrificazione e l'automazione.
The Influence of Social Context on Health
University of Michigan (via Coursera)
Why are some groups healthier than others, and how do these differences emerge and persist over the life course? How do social policies (e.g., housing, transportation, employment) relate to health and health inequalities? Why are there health disparities even in countries that have free universal health care? This course will address conceptual models for understanding health disparities in the US and internationally, how population science identifies the main sources of these disparities, and how public health can inform policy efforts to address these disparities. After taking this course, you will be able to identify ways in which conditions in the healthcare setting and at work, school, and home influence health; identify models for considering how the social context provides both sources of stress and sources of support for health; and explain how social and physical environments, including schools and workplaces, the healthcare system, and neighborhoods, shape health and health inequalities over the life course.
Diseño de cuestionarios para encuestas sociales
University of Michigan (via Coursera)
Este curso cubrirá los elementos básicos del diseño y la evaluación de cuestionarios. Revisaremos el proceso de respuesta a preguntas, desafíos y opciones para hacer preguntas sobre frecuencias de conducta, técnicas prácticas para evaluar preguntas, características específicas del cuestionario y métodos de revisión de entrevistas estandarizadas y conversacionales.
Data Collection: Online, Telephone and Face-to-face
University of Michigan (via Coursera)
This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys. The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.
Assessing and Improving Community Health
University of Michigan (via Coursera)
This course is intended to serve as an introduction to population health from both the vantage point of both public health and healthcare. We will examine the key components of community health needs assessments, how they are used, and how to compare population health assessments across subpopulations and time. We will also explore the epidemiological sources and criteria by which to select high quality data sources to estimate population health indicators and to select evidence-based interventions to improve population health. Finally, we will design multi sector collaborations that support the phases of population health improvement. As a survey of the population health, the course provides an overview for students wishing no more than an introduction to the field, as well as good grounding for students who wish to pursue additional coursework in population health. After taking this course, you will be able to: Explain differences between population health assessments for public health and healthcare. Outline the key components of community health needs assessments (CHNA). Compare how public health and healthcare will use a CHNA to improve population health. Identify key population health indicators for social determinants of health. Identify key population health indicators for mental health and opioid abuse. Categorize data sources by epidemiologic criteria. Analyze differences between subpopulations and across time trends. Formulate multi sector collaborations that support population health improvement. Outline a plan for population health improvement. Evaluate evidence-based interventions based on epidemiologic criteria and community suitability.
AI for Lawyers: Obstacles and Opportunities
University of Michigan (via Coursera)
Explore the different obstacles and opportunities that artificial intelligence poses for lawyers and other advocates. What are the pitfalls to avoid? What are the advantages to leverage? This initial course in the four-part series “AI for Lawyers and Other Advocates” is designed to help you become more comfortable with AI, more creative with AI, and better able to evaluate its various strengths and weaknesses.
History of Racial Inequity in Healthcare
University of Michigan (via Coursera)
The first course of the Addressing Racial Health Inequity in Healthcare specialization will first situate the role of public health in healthcare, and walk through important concepts and definitions that you will see throughout the course and subsequent courses. You will walk through the social and biological perspectives on the concepts of race and racism, and unpack the history of unequal treatment in the U.S. You will learn about the health insurance system in the U.S., differential access to care, and professional challenges to diversity in healthcare. And finally, you will explore examples of resilience in healthcare that were critical to preserving the health of marginalized populations.
Generative AI Integration: Effects on Labor and Workforce
University of Michigan (via Coursera)
In “Generative AI Integration: Effects on Labor and Workforce,” you’ll take a look at the larger impact of artificial intelligence on jobs, workplaces, and the relationships between firms and clients. In this course, we identify the disruptions that are likely to occur at each of these levels and highlight the need for firms to innovate, while working to ensure that AI efforts build value and are well-directed. You’ll learn how to ask the right questions when implementing AI in your workplace, and the importance of developing strong policies to help ensure workplace culture is improved when integrating generative AI. This is the third course in “Navigating Disruption: Generative AI in the Workplace,” a course series on ways to respond to new advances in artificial intelligence in the workplace and our lives.
Introduction to User Experience Principles and Processes
University of Michigan (via Coursera)
This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX. What you'll learn: The skills needed for UX research and design How UX researchers discover and assess user needs and assess possible designs How to conduct a micro-usability test How UX designers use sketching and prototyping to develop design concepts How to incorporate a user-centered focus into the design process Key features of human behavior and describe their impact on the design of interactive systems Techniques for critiquing and designing interactive systems based on human capabilities and behavior
Assisting Public Sector Decision Makers With Policy Analysis
University of Michigan (via Coursera)
Develop data analysis skills that support public sector decision-makers by performing policy analysis through all phases of the policymaking process. You will learn how to apply data analysis techniques to the core public sector principles of efficiency, effectiveness, and equity. Through authentic case studies and data sets, you will develop analytical skills commonly used to analyze and assess policies and programs, including policy options analysis, microsimulation modeling, and research designs for program and policy evaluation. You will also learn intermediate technical skills, such as Chi-squared tests and contingency tables, comparing samples through t-tests and ANOVA, applying Tukey's honest significant difference to correct for multiple tests, understanding p-values, and visualizing simulations of statistical functions to help answer questions policymakers ask such as “What should we do?” and “Did it work?” In addition, you will practice statistical testing and create ggplot visuals for two real-world datasets using the R programming language. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the third of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
High Stakes Leadership: Leading in Times of Crisis
University of Michigan (via Coursera)
This course has been designed to help leaders, like you, learn how to effectively navigate the challenges of significant organizational disruptions. As a participant in this course, you’ll discover why an understanding of various stakeholder perspectives can inform and dramatically improve a leader’s response to events that threaten an organization’s very survival. This course is also about understanding and developing individual and organizational resilience—the ability to anticipate potential threats; to cope effectively with adverse events when they occur; and to adapt to changing conditions, ensuring a viable path forward for yourself, your team, and your organization. These topics are particularly relevant in the wake of the global COVID-19 pandemic. Many course examples will reference lessons leaders around the world have learned during this far-reaching healthcare crisis. During the eight course modules, which are distributed over four weeks, participants will explore topics such as: Why the VUCA world is making crises more common; Characteristics of resilient organizations and ways to increase resilience; Stakeholder value propositions and how these are threatened during a crisis; Organizing frameworks for estimating the types of crises an organization might encounter; the Unique and challenging nature of the crisis environment; the Fundamentals of crisis leadership; and Building a plan to prepare yourself, your team, and your organization for your next major crisis—which, in today’s world, is not so much an “if”, as a “when”. Professor Mike Barger, your faculty member for this course, has served as a TOPGUN instructor in the United States Navy and as a founder and executive at JetBlue Airways. His professional experience has helped him learn a great deal about crisis leadership and to gain a true sense of what it means to be resilient. Throughout the course, Professor Barger will draw upon many practical examples that will make the content of this course ...
Industrial Internet of Things (IIoT)
University of Michigan (via Coursera)
In this course, learners will be introduced to the concept of the Industrial Internet of Things, or IIoT, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include information technology infrastructure, the business value of implementing IIoT, and what needs to happen across the organization to ensure successful implementation. Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing IIoT, how IIoT is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing. The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.
Digital Twins
University of Michigan (via Coursera)
In this course, learners will be introduced to the concept of Digital Twins, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include information technology infrastructure, the business value of implementing Digital Twins, and what needs to happen across the organization to ensure successful implementation. Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing Digital Twins, how Digital Twins is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing. The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.
Health Impacts of Chemicals in Consumer Products
University of Michigan (via Coursera)
This course focuses on assessing health impacts of chemicals in products and of fine particulate emitted along the product life cycle. We first develop the assessment framework to assess exposure and health impacts of chemicals in products. We then detail the application of mass-balance approaches to the case of parabens in personal care products. Participants then learn to assess the human health impacts of chemicals in products using the USEtox model (UN-Environment toxicity model) and discuss the level of protection offered by existing regulations about chemicals in products contrasting US and Europe. We extend the assessment to risks and impacts 5000+ chemical-household product combinations identifying the products and chemicals of concern in e.g. home maintenance and personal care products and looking at children as a sensitive population and at the magnitude of the risks associated with exposures to chemicals in toys. We also introduce a Life Cycle-based approach to Chemical Alternatives Assessment (CAA) combining both quantified exposure and hazards and discuss the applicability domain of CAA compared to Risk Assessment (RA) and Life Cycle Assessment (LCA). We finally determine exposure to and effect of fine particulates on human health along the product and chemical supply chain and life cycle. This course concludes the course series by providing cutting-edge progress on the overall exposome and compares the health impacts of multiple environmental exposures on health.
Design Strategies for Maximizing Total Data Quality
University of Michigan (via Coursera)
By the end of this third course in the Total Data Quality Specialization, learners will be able to: 1. Learn about design tools and techniques for maximizing TDQ across all stages of the TDQ framework during a data collection or a data gathering process. 2. Identify aspects of the data generating or data gathering process that impact TDQ and be able to assess whether and how such aspects can be measured. 3. Understand TDQ maximization strategies that can be applied when gathering designed and found/organic data. 4. Develop solutions to hypothetical design problems arising during the process of data collection or data gathering and processing. This specialization as a whole aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. We sincerely hope to disseminate knowledge about total data quality to all learners, such as data scientists and quantitative analysts, who have not had sufficient training in the initial steps of the data science process that focus on data collection and evaluation of data quality. We feel that extensive knowledge of data science techniques and statistical analysis procedures will not help a quantitative research study if the data collected/gathered are not of sufficiently high quality. This specialization will focus on the essential first steps in any type of scientific investigation using data: either generating or gathering data, understanding where the data come from, evaluating the quality of the data, and taking steps to maximize the quality of the data prior to performing any kind of statistical analysis or applying data science techniques to answer research questions. Given this focus, there will be little material on the analysis of data, which is covered in myriad...
Программирование для всех (начало работы с Python)
University of Michigan (via Coursera)
Цель этого курса — научить всех основам программирования компьютеров с помощью Python. Мы рассмотрим основы того, как можно построить программу на основе серии простых инструкций в Python. Курс не имеет предварительных требований и не включает никакого материала по математике, кроме самого элементарного. Любой, у кого есть умеренный опыт работы с компьютером, сумеет освоить материалы этого курса. Этот курс охватывает главы 1-5 учебника «Python for Everybody». После завершения этого курса ученики будут готовы пройти более продвинутые курсы программирования. В этом курсе рассматривается Python 3.
Environmental Hazards and Global Public Health
University of Michigan (via Coursera)
The second course of the Impacts of the Environment on Global Public Health specialization will explore a number of different environmental hazards. These are: air pollution, water pollution, solid and hazardous waste, and two physical hazards (radon and noise). These hazards each have the potential to harm human health, and we will explore how you may come into contact with these hazards and how they may harm you, as well as what we can do to minimize these exposures and health impacts. We will also explore two additional key topics: urban and global health, and the influence of the built environment on human health.
Arranging and Visualizing Data in R
University of Michigan (via Coursera)
This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide variety of concepts will be covered, including sorting rows of data, grouping by variables, summarizing over variables, pivoting, and creating new variables. Then, learners will visualize their data, creating publication-ready plots with relatively little effort. Finally, learners will understand how to set up a project workflow for their own analyses. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured practice.
Foundations of Sports Analytics: Data, Representation, and Models in Sports
University of Michigan (via Coursera)
This course provides an introduction to using Python to analyze team performance in sports. Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. The main focus of the introduction will be on the use of regression analysis to analyze team and player performance data, using examples drawn from the National Football League (NFL), the National Basketball Association (NBA), the National Hockey League (NHL), the English Premier LEague (EPL, soccer) and the Indian Premier League (IPL, cricket). This course does not simply explain methods and techniques, it enables the learner to apply them to sports datasets of interest so that they can generate their own results, rather than relying on the data processing performed by others. As a consequence the learning will be empowered to explore their own ideas about sports team performance, test them out using the data, and so become a producer of sports analytics rather than a consumer. While the course materials have been developed using Python, code has also been produced to derive all of the results in R, for those who prefer that environment.
AI for Energy and Biomedical Applications
University of Michigan (via Coursera)
"AI for Energy and Biomedical Applications” explores the groundbreaking applications of AI technologies revolutionizing energy systems and advancing healthcare solutions. In the energy sector, AI is reshaping how we generate, distribute, and manage energy resources. From optimizing renewable energy production to enhancing energy efficiency and grid management, AI offers unprecedented opportunities for sustainability and resilience. Through this course, you will explore AI-driven techniques such as predictive maintenance, demand forecasting, and energy storage optimization, empowering you to drive innovation and address pressing energy challenges. In the realm of biomedical applications, AI is driving breakthroughs in disease diagnosis, drug discovery, and personalized medicine. You’ll delve into AI-driven approaches to medical image analysis, genomic data interpretation, and predictive modeling of disease progression. You’ll also gain insights into how AI is revolutionizing healthcare delivery, enabling early detection of diseases, and facilitating precision medicine tailored to individual patients.
AI for Lawyers: Learning and Leading
University of Michigan (via Coursera)
Explore important questions found at the intersection of artificial intelligence, education, and professional development in the final course of the four-part series “AI for Lawyers and Other Advocates”: How should teachers approach AI?; How should students approach AI?; And what about the leaders of law firms, government agencies, and nonprofit organizations, all of whom know that a key driver of success is making sure their employees have the skills necessary to thrive in a fast-changing world?
Environmental Health: the Foundation of Global Public Health
University of Michigan (via Coursera)
The first course of the Impacts of the Environment on Global Public Health specialization will provide you with a foundation in environmental health sciences (EHS). We will explore four main topics. The first is an introduction to EHS and the exposure-disease model – a very useful framework for understanding the influence of the environment on human health. The second topic is key concepts in EHS and environmental health policies that can be used to address and reduce the impacts of environmental health hazards. The third topic is the application of systems thinking to understand and analyze environmental health issues. The fourth and final topic is occupational health, which is a key environment that represents a major source of morbidity and mortality from a public health perspective.
How to Network: Leading Yourself to Lead Others
University of Michigan (via Coursera)
Life is a relationship business, and the world is our work. Success in today’s complex, dynamic, and unpredictable world depends on our ability to cultivate, nurture, and activate relationships. This course – designed for students, professionals, and executives – will inspire learners to build a networking mindset and harness the power of networking to solve problems, create opportunities, and live out their respective purposes and goals. A networking mindset is a strategic advantage in life and business. In this course, you will learn what networking really is and how to cultivate a networking mindset. You will also have the opportunity to clarify your purpose, analyze your personal brand, and learn the structure and method to building, nurturing, and activating relationships, so you can network with confidence to achieve your goals – and do so faster. You will also create your own action plan to live out your purpose, both personally and professionally. This course serves all: from students and recent college graduates who face challenges in translating their degrees and experiences to a job, to professionals who feel stuck and unfulfilled with their lives, to senior leaders and executives who have realized that a networking mindset is necessary to drive greater organizational success and need help figuring out how to go about it.
Generative AI: Forecasting Disruption
University of Michigan (via Coursera)
For centuries, society has considered revolutionary technologies like the printing press, the telegraph, and even the first computers major disruptors of work and life. “Generative AI: Forecasting Disruption” lays the foundation for understanding our reaction to the rise of generative artificial intelligence by looking to the past. We examine a brief history of previous “revolutionary” communication technologies and how their impact can inform the way we think about advances in generative AI. You’ll then explore the nature of generative AI, how it works, and what it can do. As the course concludes, you’ll learn how to improve your results when using generative AI, and recognize what AI can – and cannot – accomplish. This is the first course in “Navigating Disruption: Generative AI in the Workplace,” a course series on ways to respond to new advances in AI in the workplace and our lives.
Llama for Python Programmers
University of Michigan (via Coursera)
Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama.cpp package. You’ll explore how Meta’s Llama 2 fits into the larger AI ecosystem, and how you can use it to develop Python-based LLM applications. Get hands-on skills using methods such as few-shot prompting and grammars to improve and constrain Llama 2 output, allowing you to get more robust data interchanges between Python application code and LLM inference. Lastly, gain insight into the different Llama 2 model variants, how they were trained, and how to interact with these models in Python. This course does not require a data science or statistics background. It is developed specifically for Python application developers who are interested in integrating generative AI, such as Llama 2, into their work.
Personal Branding: Stand Out and Succeed
University of Michigan (via Coursera)
In Personal Branding: Stand Out and Succeed, you’ll explore how the branding strategies used by top-brands can inform your own personal brand, one that’s authentically you. Define what a brand is, and explore the overlap between branded products and personal branding in this 4-week course. You’ll reflect on your core values, and translate them into an elevator pitch, brand imagery, and brand story. Taught by world-class faculty from the University of Michigan’s Ross School of Business, this course provides a foundational understanding of how to create and refine your brand to help you achieve your personal and professional goals, regardless of where you are in your career.
Database Architecture and NoSQL at Scale with Deno
University of Michigan (via Coursera)
In this final course of the PostgreSQL for Everybody specialization, you’ll explore how modern databases are built and scaled. You’ll begin by examining PostgreSQL’s architecture, including how it implements CRUD operations, indexing, transactions, and ACID (Atomicity, Consistency, Isolation, Durability) guarantees. Then you’ll shift to NoSQL systems using the Deno environment. You’ll learn how Deno implements a distributed Key-Value store and how it applies BASE (Basic Availability, Soft State, Eventual Consistency) principles. Through hands-on projects, you’ll deploy your own Deno KV service on Deno’s global infrastructure and build a Deno client to interact with it. By the end, you’ll understand the design tradeoffs between ACID and BASE databases and gain practical experience deploying and scaling both relational and NoSQL systems.
Problem Solving Using Computational Thinking
University of Michigan (via Coursera)
Have you ever heard that computers "think"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, "telling the computer what to do and how to do it." Before you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand. The course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you. This course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone. You will learn: -To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions -To recognize Computational Thinking concepts in practice through a series of real-world case examples -To develop solutions through the application of Computational Thinking concepts to real world problems
Building Objects in C
University of Michigan (via Coursera)
In this course, learn how Python was built in C and, by extension, languages like Java and JavaScript. Review object-oriented programming syntax from several languages and use your knowledge of C to build a library that integrates high-level data structures like strings, lists, and dictionaries. Learn how to make your program run as efficiently as possible by covering memory allocation, de-allocation, and object lifecycle.
Resilient Teaching Through Times of Crisis and Change
University of Michigan (via Coursera)
Resilient teaching is the ability to facilitate learning experiences that are designed to be adaptable to fluctuating conditions and disruptions. This teaching ability can be seen as an outcome of a design approach that attends to the relationship between learning goals and activities, and the environments they are situated in. Resilient teaching approaches take into account how a dynamic learning context may require new forms of interactions between teachers, students, content, and tools. Additionally, they necessitate the capacity to rethink the design of learning experiences based on a nuanced understanding of context. The course is designed with higher education faculty, lecturers, and graduate student instructors in mind, but may also be applicable to educators in a wide variety of instructional environments. The course is aimed at participants who may be asked to rethink how they teach in the immediate or near future due to the ever-changing circumstances of the current COVID-19 pandemic. While the creation of this course is motivated by the current crisis, we expect it will remain relevant to instructors who are faced with disruptions and change to their teaching for any number of reasons and must quickly adapt their course designs. To support learning and reflection, we are introducing a new journaling tool within the course that provides a place for participants to reflect on their own experiences. To support community growth, participants can choose to share their journal entries with the wider course community in an interactive gallery space.
Using Generative AI for Learning Design Activities
University of Michigan (via Coursera)
In “Using Generative AI for Learning Design Activities,” you’ll experiment with how generative AI supports learning design tasks. Throughout the course, instructors will use an applied case study to illustrate how generative AI can enhance learning design. You will then apply these insights to various activities, including drafting learning objectives, brainstorming, aligning course outcomes, and creating learner personas. You’ll then scope and conduct an experiment using generative AI, sharing your experiment results with peers in the course. This is the second course in the series "Generative AI as a Learning Design Partner," which introduces generative AI to the learning design process to support the creation of engaging instructional design. For educators in the state of Michigan: This series, "Generative AI as a Learning Design Partner," is approved in the state of Michigan for a maximum of 15 State Continuing Education Clock Hours (SCECHs) for educators. The successful completion of all 3 courses in the series will be required to claim SCECHs.
Practicing Collaborative, Continuous Improvement
University of Michigan (via Coursera)
Practicing Collaborative, Continuous Improvement supports local change agents in developing foundational capabilities for iterative analysis, design, implementation, and evaluation. Learn to address local needs, opportunities, and problems, with a focus on improvement science as a specific approach to collaborative, continuous improvement that is useful in classrooms, communities, schools, and systems. Under the guidance of leading researchers, learners develop capabilities to map systems that underlie persistent educational problems; identify a shared theory of (and ideas for) improvement; iteratively implement, measure, and refine potential solutions using plan-do-study-act cycles; and sustain and spread improvement within and beyond their local contexts. Learners also compare such work as enacted in improvement science and other approaches to collaborative, continuous improvement. Learners then develop a detailed plan for initiating a local improvement project to advance new ambitions for educational access, quality, and equity in their local contexts.
Sleep Deprivation: Habits, Solutions, and Strategies Teach-Out
University of Michigan (via Coursera)
Sleep deprivation is a silent epidemic. Since the invention of the light bulb, we have increasingly had less sleep than our ancestors. We prioritize work, school, socializing, sports, screen time – just about everything – over sleep. Sleep is viewed as compressible, something that can be made up at any time, but rarely is. Most believe this poses little risk. Unfortunately, they could not be more wrong. The truth is that an adequate amount of good-quality sleep is critical to good health. Lack of sleep leads to deadly crashes, reduces productivity, and harms quality of life. Insufficient or disordered sleep can increase risk for anxiety, depression, heart attack, stroke, arrhythmia, heart failure, and early death. This Teach-Out can be your first step in doing something about sleep deprivation. This Teach-Out will answer: What are the health implications of the evolving sleep deprivation epidemic? Why has sleep become undervalued in society, and what cultural shifts are necessary to re-prioritize it? How does technology and modern lifestyle contribute to widespread sleep issues? What effective methods can individuals adopt to improve their sleep quality? How can communities and organizations facilitate better sleep habits for the general population? Join us as we delve into the world of sleep and emerge with a new perspective on the importance of rest. You'll not only gain deeper insight into the sleep deprivation crisis but also learn how you can take tangible steps to reclaim the restorative power of sleep for yourself and others.
Politics and Ethics of Data Analytics in the Public Sector
University of Michigan (via Coursera)
Deepen your understanding of the power and politics of data in the public sector, including how values — in addition to data and evidence — are always part of public sector decision-making. In this course, you will explore common ethical challenges associated with data, data analytics, and randomized controlled trials in the public sector. You will also navigate and understand the ethical issues related to data systems and data analysis by understanding frameworks, codes of ethics, and professional guidelines. Using two technical case studies, you will understand common ethical issues, including participation bias in populations and how slicing analysis is used to identify bias in predictive machine learning models. This course also serves as a capstone experience for the Data Analytics in the Public Sector with R Specialization, where you will conduct an applied policy options analysis using authentic data from a real-world case study. In this capstone exercise, you will review data as part of policy options analysis, create a visualization of the results, and make a recommendation. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the fourth and final course within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early-career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
Applied Social Network Analysis in Python
University of Michigan (via Coursera)
This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
Generative AI Essentials: Overview and Impact
University of Michigan (via Coursera)
With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future. This course is licensed CC BY-SA 4.0 with the exclusion of the course image.
التفاعل مع لغة البرمجة جافا سكريبت
University of Michigan (via Coursera)
إذا كنت ترغب في الانتقال بموقع الويب الخاص بك إلى المستوى التالي، فإن القدرة على تضمين التفاعل أمر لا بد منه. ولكن عليك إضافة بعض من أنواع الخصائص التي تتطلب لغة برمجة أقوى من HTML5 أو CSS3 كما يمكن أن تزودك لغة البرمجة جافا سكريبت بما تحتاج إليه. ومن خلال الفهم الأساسي للغة، يمكنك إنشاء صفحة تتفاعل مع الأحداث الشائعة مثل تحميل الصفحات والنقر بالفأرة والتحرك بها وحتى إدخال لوحة المفاتيح. سيعرّفك هذا المساق على أساسيات لغة البرمجة جافا سكريبت. سنتناول بعض المفاهيم مثل المتغيرات والحلقات والدوال وحتى بعض الشيء حول أدوات التصحيح البرمجي. ستعرف أيضًا كيفية استخدام نموذج كائن المستند بواسطة لغة البرمجة جافا سكريبت لتحديد أجزاء معينة من الصفحة وتعديلها. وعقب انتهاء المساق، سيتمكن المتعلمون من التفاعل مع أحداث نموذج كائن المستند وتغيير محتويات الصفحة وتصميمها بشكل ديناميكي. سينتهي المساق بمشروع نهائي –وهو إنشاء نموذج إتش تي إم إل تفاعلي بحيث يقبل الإدخال ويتحقق منه. وُيعد هذا هو المساق الثالث الخاص تصميم الويب للجميع. يُتوقع أن تحظى بإلمامٍ جوهريٍ للغتي HTML و CSS عند الالتحاق بهذا المساق. وتصب المساقات الأخرى تركيزها على تعزيز التصميم من خلال التصميم المستجيب وإتمام مشروع كابستون.
Sampling People, Networks and Records
University of Michigan (via Coursera)
Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors. Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control. It is these last kinds of samples that will be discussed in this course. We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples. The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.
Human Capital: Globalization and Culture
University of Michigan (via Coursera)
Prepare to elevate your understanding of globalization's impact on human capital with “Human Capital: Globalization and Culture.” Explore globalization's effects on human capital and learn how to adapt HR strategies to stay ahead in the international arena. This course emphasizes the cultivation of cultural appreciation and its critical role in managing global teams and expatriates, providing you with the insights to navigate the complex dynamics of diverse work environments. Through global HR examples, you'll apply key learnings to real-life international HR challenges, gaining practical insights and actionable strategies. Discover the attributes that define successful global HR leaders and expatriates, analyzing and discussing their practices to enhance your own leadership skills. This course will equip you with the knowledge and tools to manage human resources on a global scale. This is the fourth course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.
AI for Lawyers: Time and Tasks
University of Michigan (via Coursera)
Explore ways to use artificial intelligence to help you get more things done in less time. In the third course of the four-part series “AI for Lawyers and Other Advocates,” you’ll learn how to navigate the “AI Delegation Matrix” and spot “Low-Hanging AI Fruit.” You’ll also develop strategies to make sure you don’t hand over the wrong tasks to artificial intelligence tools and end up with heavy, regretful feelings of “delegation remorse.”
Building Web Applications in Django
University of Michigan (via Coursera)
In this course, you will learn how Django communicates with a database through model objects. You will explore Object-Relational Mapping (ORM) for database access and how Django models implement this pattern. We will review the Object-Oriented (OO) pattern in Python. You will learn basic Structured Query Language (SQL) and database modeling, including one-to-many and many-to-many relationships and how they work in both the SQL and Django models. You will learn how to use the Django console and scripts to work with your application objects interactively.
Speaking and Presenting: Poise
University of Michigan (via Coursera)
Poise is not some elusive or innate characteristic. It’s a series of choices, all of which can help you better connect with your intended audience. This course will help you identify those choices and teach you how to make them in a way that consistently enhances the clarity of your message and the effectiveness of your delivery.
Advanced Understanding of Stocks and Bonds
University of Michigan (via Coursera)
This final course will cover more advanced aspects of bonds and stocks that will help you make smart personal decisions and develop a keen understanding of how governments and companies borrow from us. You will better understand stocks and bonds valuation and take a deeper dive using real-world problems. For stocks, you will review what you have already learned and understand valuation. You will learn about growth, different types of growth both bad and good. You will also get an opportunity to apply these concepts in practice assignments. For bonds: you will review what you have already learned. You will learn about different sources of risk in bonds. Lastly you will get an opportunity to apply these concepts in practice assignments. After completing this course, you will have a deeper understanding of how bonds and stocks are valued and the risks involved in both. You will be able to apply this knowledge to understand the workings of a company and how it creates value. This will enable you to invest with more confidence and also bring a special and critical lens to a company’s decisions. This course is part of the four-course Foundational Finance for Strategic Decision Making Specialization.
Writing and Editing: Structure and Organization
University of Michigan (via Coursera)
This second course in the Good with Words: Writing and Editing series will help you become an effective architect of information, both with your sentences and with your paragraphs. You’ll learn that the traditional advice to “Show, don’t tell” is incomplete and that skilled writers actually switch back and forth between showing and telling. You’ll also learn more about the menu of time management techniques introduced in the first course of the series, including “deep work,” “studio time,” and “the Animal Farm Principle.” And as with the other three courses in this series, you will get access to a wide range of books and other resources you can use even after you finish the course. These include: (1) the readings and exercises provided to the students who have taken the in-person version of this course at the University of Michigan and the University of Chicago; (2) two digital libraries of excellent writing from a diverse collection of journalists, scientists, novelists, poets, historians, and entrepreneurs; and (3) a monthly “Good Sentences” email.
Writing and Editing: Word Choice and Word Order
University of Michigan (via Coursera)
This course will teach you how to use your written words to become more persuasive. You’ll learn creative ways to use syntax, effective techniques for telling stories, and a clever method for arranging a complex series of information. You’ll also get a chance to both professionalize your use of punctuation and add a bit of style and sophistication to how you craft everything from sentences to slogans. In addition, you’ll get access to a wide range of books and other resources you can use even after you finish the course. These include (1) the readings and exercises provided to the students who have taken the in-person version of this course at the University of Michigan and the University of Chicago; (2) two digital libraries of excellent writing from a diverse collection of journalists, scientists, novelists, poets, historians, and entrepreneurs; and (3) a monthly “Good Sentences” email. Social media has only accelerated the ways in which we all must learn to use our writing to connect, compete, and create—sometimes all at once. So join us for this first course in a four-part series and experience the many benefits, both personal and professional, of becoming “good with words.”
The Finite Element Method for Problems in Physics
University of Michigan (via Coursera)
This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently. The course includes about 45 hours of lectures covering the material I normally teach in an introductory graduate class at University of Michigan. The treatment is mathematical, which is natural for a topic whose roots lie deep in functional analysis and variational calculus. It is not formal, however, because the main goal of these lectures is to turn the viewer into a competent developer of finite element code. We do spend time in rudimentary functional analysis, and variational calculus, but this is only to highlight the mathematical basis for the methods, which in turn explains why they work so well. Much of the success of the Finite Element Method as a computational framework lies in the rigor of its mathematical foundation, and this needs to be appreciated, even if only in the elementary manner presented here. A background in PDEs and, more importantly, linear algebra, is assumed, although the viewer will find that we develop all the relevant ideas that are needed. The development itself focuses on the classical forms of partial differential equations (PDEs): elliptic, parabolic and hyperbolic. At each stage, however, we make numerous connections to the physical phenomena represented by the PDEs. For clarity we begin with elliptic PDEs in one dimension (linearized elasticity, steady state heat conduction and mass diffusion). We then move on to three dimensional elliptic PDEs in scalar unknowns (heat conduction and mass diffusion), before ending the treatment of elliptic PDEs with three dimensional problems in vector unknowns (linearized elasticity). Parabolic PDEs in three dimensions come next (unsteady...
Estruturas de dados Python
University of Michigan (via Coursera)
Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”. Este curso aborda o Python 3.
Leading for Equity, Diversity and Inclusion in Higher Education
University of Michigan (via Coursera)
This course is open to professionals interested in learning more about leadership in higher education for a changing demographic or interested in developing their own leadership skills. The very idea that individuals can be taught to lead is not without its skeptics. Reasonable people, even some scholars in the field, point to the important traits, skills, and attributes that are observed in many visible leaders and contend that certain qualities necessary for effective leadership are not easily transmitted. To accept this premise and conclude that some people are born as natural leaders and others cannot be expected to lead at all is to make a mistake at the other end of the logical spectrum. We believe that leadership can be taught as long as it is concurrently nurtured, that most people possess a constellation of strengths around which they can construct their own leadership philosophy and approach, and that leadership development programming—if done well—can be transformative for organizers and participants. Course Level Objectives: Understand the historical narrative of institutions as well as institutional structures that have created instances of inclusion and exclusion in colleges and universities. Describe how transformational leadership is enacted for diversity, equity, and inclusion in a complex and contested environment. Compare legislative, governance, and public accountability and expectations in relation to contemporary issues in higher education. Analyze the strategic diversity planning process and documents of a selected institution. Recommend innovations and opportunities for transformational change at various levels of the ecological model using the strategic diversity planning process as a tool.
إدارة المواهب
University of Michigan (via Coursera)
ستتعلّم في هذه الدورة التدريبية أفضل الممارسات لاختيار المواهب وتوظيفها وتأهيلها. ستتعرّف أيضًا على الأساليب الرئيسية لقياس الأداء وتقييم موظفيك. بالإضافة إلى ذلك، ستتعلم كيفية تنمية قدرات الموهوبين وتدريبهم بحيث يمكنهم إدراك إمكاناتهم الكاملة في العمل. بشكل إجمالي، ستكتسب فهمًا شاملاً للدورة الكاملة لإدارة المواهب وإنشاء قناة إمداد مواهب قوية لفريقك ومؤسستك. تعد إدارة المواهب وتنمية قدراتهم واحدةً من أهم ثلاث قضايا تشغل عقول الرؤساء التنفيذيين حول العالم. في الواقع، يشير الرؤساء التنفيذيون إلى إدارة وتنمية قدرات مواهبهم القيادية باعتبارها المسألة الأكثر أهمية لنجاح أعمالهم في المستقبل، ولكن مؤسساتهم أقل قدرةً على معالجتها بفعالية. ستزودك هذه الدورة التدريبية برؤى وأطر عمل وأدوات لإدارة وتنمية قدرات المواهب في فرقك ومؤسساتك بفعالية.
Speaking and Presenting: Conversation Starters
University of Michigan (via Coursera)
This course will teach you how to build persuasive surprises into your presentations, the kind of surprises that will change how your audience sees a particular situation or proposal and then gets them talking—in a good way. It will also identify several techniques you can use to start (and maintain) your own conversations, whether with a big group, a small group, or even just one-on-one.
Data Structures for Designers Using Python
University of Michigan (via Coursera)
In Data Structures for Designers Using Python, you’ll delve into the critical concepts of data structures and object-oriented programming, tailored specifically for design and visual content creation applications. You’ll be introduced to object-oriented programming principles in Python, enabling you to model real-world scenarios and design problems using objects and classes. You will use the Processing platform to draw lines, rectangles, ellipses, and more through the program’s Python mode. Learn about vector math and how it can be manipulated to store, organize, and manage data efficiently in creative projects. These approaches to Python allow you to gain a deeper understanding of the programming language while enhancing your ability to conceptualize and implement sophisticated design solutions. This is the second course in a three-part series, Programming for Designers, aimed at equipping designers, including those in architecture, graphic design, industrial design, game design, and visual artists, with essential computational design skills.
Capstone: Retrieving, Processing, and Visualizing Data with Python
University of Michigan (via Coursera)
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.
Community Awareness: What is a Socially Just University
University of Michigan (via Coursera)
The course assumes that higher education is a gateway to the resources of society and that there is a need for institutions to become more socially just for all groups, with emphasis on low-income and minority populations that are traditionally underrepresented. The course includes sessions with institutional leaders about higher education and American society, diversity and inclusion in learning and teaching, professors and students as change agents, socially-just research, and struggles for equity and justice on campus and in communities. Illustrative modules include: What is a university? What is the role or potential role of universities in making societies more socially just? Do present universities contribute to inequalities and injustices and, if so, how? What changes are needed now? Sessions will draw upon initiatives at the University of Michigan for starters, and we also will draw upon other educational leaders nationwide
Réussir une négociation : Stratégies et compétences clés
University of Michigan (via Coursera)
Nous négocions tous au quotidien. À titre personnel, nous négocions avec des amis, notre famille, des propriétaires, des vendeurs de voitures et des employeurs, entre autres. La négociation est également la clé de la réussite en affaires. Aucune entreprise ne peut survivre sans affaires rentables. Au sein d’une entreprise, des compétences en négociation peuvent vous permettre d’évoluer. J'espère que vous rejoindrez les centaines de milliers d'apprenants qui ont fait de « Réussir une négociation » l'un des MOOC les plus populaires et les mieux notés au monde. Dans le cours, vous apprendrez et mettrez en application les quatre étapes d'une négociation réussie : (1) Se préparer : Planifier votre stratégie de négociation (2) Négocier : Utiliser des tactiques clés pour arriver à ses fins (3) Conclure : Établir un contrat (4) Exécuter et évaluer : La phase finale Pour valider ce cours et améliorer vos capacités de négociation : (1) Regardez les courtes vidéos (de 5 à 20 minutes). Les vidéos sont interactives et comprennent des questions pour tester votre compréhension de la stratégie de négociation et des compétences requises. Les vidéos peuvent être accélérées ou ralenties selon le rythme d'écoute souhaité. En fonction de votre emploi du temps, vous pouvez regarder les vidéos sur une période de quelques semaines, ou bien toutes les regarder en une seule fois. Un apprenant qui a suivi le cours en une seule fois a conclu que c’était « aussi bien que Breaking Bad ». Un autre apprenant a comparé le cours à « House of Cards ». Les deux séries contiennent des exemples intéressants de négociations complexes ! (2) Testez vos compétences en négociation en menant une négociation dans le module 6. Vous pouvez négocier avec un ami ou utiliser « Discussions » pour trouver un partenaire dans un autre pays. Votre partenaire de négociation vous donnera un retour sur vos compétences en négociation. Pour vous accompagner dans vos négociations, j'ai développé p...
파이썬의 데이터 과학 소개
University of Michigan (via Coursera)
이 과정에서는 학습자에게 람다, csv 파일 읽기 및 조작, numpy 라이브러리와 같은 기본적인 파이썬 프로그래밍 기술을 포함하여 파이썬 프로그래밍 환경의 기본 사항을 소개합니다. 이 과정에서는 인기 있는 python pandas 데이터 과학 라이브러리를 사용하여 데이터 조작 및 정리 기술을 소개하고 데이터 분석을 위한 중심 데이터 구조로 Series 및 DataFrame의 추상화를 소개하고 groupby, merge 및 pivot 테이블 같은 함수를 효과적으로 사용하는 방법에 대한 튜토리얼을 제공합니다. 이 과정이 끝나면 학생들은 표 형식의 데이터를 가져와 정리하고 조작하고 기본 추론 통계 분석을 실행할 수 있습니다. 이 과정은 다른 ‘파이썬을 사용한 응용 데이터 과학’ 과정보다 먼저 수강해야 합니다. 파이썬의 응용 플로팅, 차트 및 데이터 표현, 파이썬의 응용 머신 러닝, 파이썬의 응용 텍스트 마이닝, 파이썬의 응용 소셜 네트워크 분석.
UX Research at Scale: Surveys, Analytics, Online Testing
University of Michigan (via Coursera)
This UX course will provide an overview of survey methodology from the perspective of UX research. UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. In this course, learners will learn the basics of UX survey research and conduct a survey of their own design! Learners will be introduced to techniques for gaining UX insights from large numbers of users, including web analytics, A/B testing, and remote unmoderated studies. We will discuss how these techniques work, when they can be applied, and what can be learned by using them. What You’ll Learn: -Learn how web analytics works and how to analyze analytics data -Understand how to develop A-B tests, before/after, and multivariate experiments -Learn how to set up and analyze remote unmoderated testing studies -Analyze and report on large scale user experience studies Learn about the different types and uses of surveys in UX research -Understand the survey population: when to sample, when to recruit -Develop a survey instrument that meets your requirements -Analyze and report on surveys -Learn to critique user surveys
Fundamentals of Data Analytics in the Public Sector with R
University of Michigan (via Coursera)
Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics. Throughout the course, you will work with authentic public datasets, and all programming can be completed in RStudio on the Coursera platform without additional software. This is the first of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
Feedback Loops: Vertical Feedback
University of Michigan (via Coursera)
Hierarchies are everywhere. They’re at work. They’re at school. They’re inside our families, teams, and social networks. This second course in the "Feedback Loops" specialization will help you provide meaningful feedback to people both above and below you in a wide range of important organizational (and relational) structures.
Использование языка Python для доступа к веб-данным
University of Michigan (via Coursera)
Этот курс покажет, как можно использовать Интернет в качестве источника данных. Мы рассмотрим скрейпинг, парсинг и чтение веб-данных, а также получение доступа к данным с помощью web API. Мы будем работать с форматами данных HTML, XML и JSON на Python. Этот курс будет охватывает главы 11–13 учебника «Python для всех» (Python for Everybody). Чтобы успешно пройти этот курс, вы должны быть знакомы с материалами, изложенными в главах 1–10 учебника и первых двух курсах по данной специализации. Эти темы включают переменные и выражения, условные операторы (циклы, ветвление и исключения: try/except), функции, структуры данных Python (строки, списки, словари и кортежи), а также манипулирование файлами. В этом курсе рассматривается Python 3.
Human Capital: Positive Downsizing and Navigating Politics
University of Michigan (via Coursera)
“Human Capital: Positive Downsizing and Navigating Politics” helps you navigate the complex landscape of organizational downsizing while upholding ethical standards. This course offers an in-depth look at strategies for managing such challenging situations with integrity. You'll explore the influence of corporate politics on human capital management and employee relations, providing insights into effectively navigating these complex areas effectively. Additionally, by applying psychological principles within HR contexts, you'll learn how to foster positive intentions and develop strong professional relationships. The course also synthesizes knowledge to help you evaluate comprehensive HR strategies in various scenarios. This balanced approach aims to equip you with the skills needed to handle multifaceted HR challenges thoughtfully and effectively. This is the fifth course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.
Data Structures in C
University of Michigan (via Coursera)
Covering dynamic memory allocation for optimizing memory utilization, Data Structures in C explores ways to handle multiple variables collectively. In this course, you’ll delve into the central concept of pointers for managing the storage and retrieval of memory. Explore and understand structures, a C-specific user-defined data type combining assorted data items.
Introduction to 3D Modeling
University of Michigan (via Coursera)
On this four-week practical course from the University of Michigan, you’ll not only learn how to use the Rhino software to create your 3D models, but you’ll also gain basic design skills to help bring your imagination to life. This course will guide you through 3D modeling within Rhino, so you’ll cover the fundamentals of the software as well as 3D modeling in general. You’ll first look at how to navigate the user interface and the different tools that you’ll be using to create models throughout this course. You’ll familiarize yourself with the 3D space and 3D objects before jumping straight in to create your own objects and building blocks. Design is a vital part of 3D modeling. You can be a master of the software but if you aren’t aware of fundamental design concepts, you won’t be able to truly unleash your potential. You’ll build your basic design skills by looking at line, shape, form, and space, before creating and editing 2D line forms that you’ll transform into patterned mandalas and 3D tile wall designs. This course will guide you through the concept of profile modeling and will allow you to utilize 3D surface and 3D solid modeling tools to create and edit more complex designs. To round out your foundational knowledge, you’ll dive into 3D rendering and creating 3D printable models. Then, once you’ve completed each step of the course, you can bring your newfound skills together into one final 3D modeling project. This course has been designed for anyone interested in 3D design and learning how to use 3D modeling software. You don’t need any previous knowledge or experience to benefit from this course. It will be particularly useful to Architects, Designers, Engineers, or anyone studying in these fields.
Achieving Health Equity in Healthcare
University of Michigan (via Coursera)
The third and the last course of the Addressing Racial Health Inequity in Healthcare specialization will go through various approaches that are used to addressing racial inequity in healthcare., and the strengths and challenges of those approaches. You will explore legal, policy, and regulatory approaches to interventions such as Title IX in the United States. You will explore what is being done to intervene on providers to reduce differential care. You will unpack quality improvement and multiple approaches to leveraging healthcare systems and community partnerships to address access to care. You will also come to understand the history and role of community health centers in being critical infrastructure in addressing the health needs of diverse populations. Finally, you will be introduced to the workforce initiatives and the reparations that aim to close the racial and ethnic healthcare disparities gaps.
Climate Change, Sustainability, and Global Public Health
University of Michigan (via Coursera)
The third course of the Impacts of the Environment on Global Public Health specialization will introduce you to two major environmental health challenges facing the world today. The first is climate change –the preeminent threat to public health today, and a threat that will impact every human and ecosystem on the planet. We will evaluate the causes and impacts of climate change, as well as policies and approaches that can be used to reduce the impacts of climate change on human health. The second is sustainability, a concept that can be applied to reduce the impacts of human activities on the environment as well as human health. We will explore different sustainability frameworks, as well as the effects of different energy generation sources on the environment and public health.
Speaking and Presenting: Pitches and Persuasion
University of Michigan (via Coursera)
The hope good presenters project when pitching their ideas is not naïve hope. They’re not Pollyanna at the podium. Instead, the solutions they offer are supported by research, data, and expertise. This course will teach you how to merge hard facts with an imaginative vision in a way that at once resonates with and inspires your audience.
Becoming a Social Entrepreneur: Getting Started
University of Michigan (via Coursera)
Do you have an idea that could help solve a societal problem? Are you wondering if starting a social enterprise is the best way to go forward? You are thinking about becoming a social entrepreneur! In this course, you’ll critically examine what makes for a good idea, and whether that idea requires starting a new business. You’ll craft a personal immersion plan while considering different ways to create impact. You’ll explore the personal challenges and connections to your life’s purpose before deciding to commit to becoming a social entrepreneur. Each week, you’ll see and hear from 11 real-life social entrepreneurs, working around the world, and sharing the lessons they’ve learned as well as the mistakes they’ve made and how you can overcome them. Among their experiences are: providing clean water in India and the Dominican Republic, warming premature babies without incubators, improving education in Africa and Detroit, and providing affordable fresh food to low-income residents of Los Angeles. Ultimately, you’ll be able to decide whether your idea is necessary for the world, and if starting a social enterprise is the right path for you. This course is based on the book “Becoming a Social Entrepreneur: Starting Out, Scaling Up and Staying True” by Michael Gordon.
Information Extraction from Free Text Data in Health
University of Michigan (via Coursera)
In this MOOC, you will be introduced to advanced machine learning and natural language processing techniques to parse and extract information from unstructured text documents in healthcare, such as clinical notes, radiology reports, and discharge summaries. Whether you are an aspiring data scientist or an early or mid-career professional in data science or information technology in healthcare, it is critical that you keep up-to-date your skills in information extraction and analysis. To be successful in this course, you should build on the concepts learned through other intermediate-level MOOC courses and specializations in Data Science offered by the University of Michigan, so you will be able to delve deeper into challenges in recognizing medical entities in health-related documents, extracting clinical information, addressing ambiguity and polysemy to tag them with correct concept types, and develop tools and techniques to analyze new genres of health information. By the end of this course, you will be able to: Identify text mining approaches needed to identify and extract different kinds of information from health-related text data Create an end-to-end NLP pipeline to extract medical concepts from clinical free text using one terminology resource Differentiate how training deep learning models differ from training traditional machine learning models Configure a deep neural network model to detect adverse events from drug reviews List the pros and cons of Deep Learning approaches."
GIS: Geographic Information Systems for Sustainability
University of Michigan (via Coursera)
The world is currently experiencing complex challenges in social, economic, and environmental sustainability. Geographic information systems (GIS) help us organize, analyze, and display large spatial datasets that reveal critical spatial and temporal patterns crucial for addressing these complex issues. “GIS: Geographic Information Systems for Sustainability” is designed for sustainability professionals seeking an introduction to GIS that is accessible, geospatial professionals beginning to delve into sustainability, and learners needing some exposure to GIS for their job. Through this course, you’ll learn fundamental GIS principles through the lens of the United Nations’ Sustainable Development Goals. You’ll engage with instructor-led lectures about how GIS can be applied to various aspects of sustainability. You’ll hear from sustainability professionals about the relevance of GIS in their own work and where they see GIS and sustainability tying together in the future. You’ll also gain technical GIS skills through hands-on exercises using real-world data and scenarios. By learning how to use GIS, you can guide your organization to use spatial analysis in sustainability practices that increase public awareness, empower communities, or help decision-makers engage diverse stakeholders. This is the fourth course in “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
Anatomy: Cardiovascular, Respiratory and Urinary Systems
University of Michigan (via Coursera)
In this anatomy course, part of the Anatomy Specialization, you will explore the interactive relationships of the cardiovascular, respiratory and urinary systems, and the roles they play in your body. This course is a primer for the cardiovascular, respiratory, and urinary systems in which students learn the pertinent details of the structures and functions through a combination of lectures, videos, labeling activities and quizzes.
Generative AI: Shaping Work and Tasks
University of Michigan (via Coursera)
Although it’s too soon to know all of the ways artificial intelligence will shape our future, we have seen recent trends within certain industries. “Generative AI: Shaping Work and Tasks,” looks at the potential impacts generative AI could have within spaces like education, marketing, and journalism. Recognizing that jobs in a contemporary workplace consist of multiple responsibilities, we consider the exposure of different kinds of tasks to generative AI. You will explore the potential for AI augmentation or replacement of workers’ tasks to shape aspects of their jobs, while also examining some domains that are likely to remain distinctly human endeavors. By thinking through these factors, this course will provide you with a framework for conceptualizing the implications of AI in your workplace. This is the second course in “Navigating Disruption: Generative AI in the Workplace,” a course series on ways to respond to new advances in artificial intelligence in the workplace and our lives.
Feedback Loops: Team Feedback
University of Michigan (via Coursera)
Giving and getting individual feedback is one thing. But the dynamics are different when the feedback involves an entire team. Big teams, small teams, remote teams—this course will help you develop effective feedback systems for them all.
JSON and Natural Language Processing in PostgreSQL
University of Michigan (via Coursera)
Within this course, you’ll learn about how PostgreSQL creates and uses inverted indexes for JSON and natural language content. We will use various sources of data for our databases, including access to an online API and spidering its data and storing the data in a JSON column in PostgreSQL. Students will explore how full-text inverted indexes are structured. Students will build their own inverted indexes and then make use of PostgreSQL built-in capabilities to support full-text indexes.
Purpose at Work: A Course for Employees and Leaders
University of Michigan (via Coursera)
Welcome to Purpose at Work: A Course for Employees and Leaders! Why purpose at work? Because most of us spend most of our waking hours working. Many of us spend years of effort to obtain jobs that may give us purpose. But can we find purpose in nearly any job? Are we more engaged and likely to remain in our job if it gives us purpose? Can leaders create a culture that makes it easier for people to find purpose in their work? The answers are ‘yes’ to all of the above and this course shows you how. In this course we first examine what purpose is, the benefits of having a purpose, and how to find your own purpose. We then look at purposeful work, including ways of finding purposeful work in the process of leading a more engaged and fulfilling life. Finally, we focus on purposeful leadership, including ways of leading with purpose and managing yourself. Also, in this course I interview business executives, leading organizational psychologists, and even the research director of NASA. These discussions offer real-world insights and strategies to students, employees, and leaders.
Translating Research to Communities
University of Michigan (via Coursera)
Health research must positively impact the lives of the general population, so the public must receive and interpret research findings in a meaningful way. That is why translating research discoveries into practice is an important phase of the translational research spectrum. In this course, you’ll gain an introduction to the concepts of population health research and the ethical use of data science to drive advances in human health. Specifically, you’ll learn about the computational models used in population health research, the function of community partners in conducting translational research and disseminating findings, as well as the role of population health during health crises like the COVID-19 pandemic, Opioid crisis, and the Flint, Michigan, USA water crisis. This is the fourth of five courses in the “Translational Science” series.
Blockchain and Cryptocurrency Explained
University of Michigan (via Coursera)
The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology. In this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms. We then examine blockchain as an asset and review the dynamics of the cryptocurrency markets. Finally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.
Introduction to Healthcare Accounting
University of Michigan (via Coursera)
To remain sustainable, it's crucial for healthcare organizations to effectively manage their finances. In Introduction to Healthcare Accounting, you’ll learn how to understand and manage hospital finances. This includes the cost of patient care, major payers and reimbursements, resource efficiency, and the modernization of facilities. Hands-on course assessments will allow you to apply financial analysis to gain a deeper understanding of institutional revenues and balances, so that you can make informed decisions for your institution. With this course, you’ll emerge with a crucial understanding of institutional finances and become a more effective leader.
The Future of Payment Technologies
University of Michigan (via Coursera)
Discover the future of payment technology, from mobile payments to tokenization. In this course, you will learn new ways of making payments from consumer-to-business (C2B), from consumer-to-consumer (C2C), and from business-to-business (B2B). You will explore current payment system technologies to examine their strengths and weaknesses, and understand the ways technological innovation is changing these traditional systems. You’ll learn about new front-end innovations like digital wallets and mobile payments and also discover back-end innovations like tokenization, mobile money, and new payment infrastructure.
Understanding Psychosis
University of Michigan (via Coursera)
For Continuing Medical Education (CME) Credit Eligible Learners: View information about expected results, presenters, their disclosures, and CME credit here: https://umich.cloud-cme.com/course/courseoverview?P=0&EID=68570 What is it like to live with and recover from psychosis? Why are people with psychosis spectrum disorders such as Schizophrenia more likely to have serious medical problems? What can healthcare providers do to improve this population’s experience of and access to care? Why is Trauma-Informed Care particularly relevant to people living with psychosis? In this course, learners will explore these and other questions as they gain a deeper understanding of psychosis-spectrum disorders. Participants will learn about the signs and symptoms of psychosis; the treatments that work; the promising directions in research; and the skills and strategies that may help engage this population in medical settings. Academic lectures are interspersed with interviews with expert therapists, psychiatrists, researchers, and people living with psychosis. After completing this activity, participants will be able to summarize the health disparities facing people with psychosis, determine reasons why these health disparities exist, and illustrate examples of communication styles that can help promote health in this population. Accreditation and Credit Designation The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The University of Michigan Medical School designates these enduring materials for a maximum of 8.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Continuing medical education (CME) credits for licensure are available upon successful completion of course content. Module 1 is required for all CME learners, upon its completion learners may choo...
Mindfulness, Dignity, and the Art of Human Connection
University of Michigan (via Coursera)
While our world is becoming increasingly interconnected, people report increasing anxiety, depression, and loneliness. With “Mindfulness, Dignity, and the Art of Human Connection,” you’ll explore innovative mindfulness techniques that foster a more profound understanding of dignity within yourself and others. This course provides a comprehensive understanding of the holistic mindfulness perspective, which focuses on strengthening your relationships with the self, others, and nature. It covers mindfulness from three perspectives: Buddhist psychology, critical theory, and contemplative studies. This interdisciplinary approach allows you to not only learn major aspects of the Banyan Tree mindset framework but also provides an inclusive perspective that builds a greater sense of understanding for others with diverse experiences. The course explores current research on mindfulness and offers various contemplative activities such as meditation, art, poetry, photovoice, and journaling to practice mindfulness. By developing a vision for leading a dignified life, you’ll strengthen your grasp on how to integrate mindfulness practices into your daily life and better understand the world around you.
تنميط متقدم بتصميم سريع الاستجابة
University of Michigan (via Coursera)
كان من المعهود فيما مضى أن يرى كل شخص صفحات إنترنت على شاشة لها نفس الحجم تقريبًا. ولكن مع انبثاق ثورة استعمال الهواتف الذكية للدخول إلى شبكة الإنترنت، تغير عرض التصاميم كليًا. يتوقع الأفراد في الوقت الراهن أنها ستعمل بصرف النظر عن المنصة (هاتف ذكي أو جهاز لوحي أو جهاز حاسوب محمول أو جهاز حاسوب مكتبي). ويُطلق على تلك الإمكانية المتعلقة بالاستجابة لأي منصة التصميم سريع الاستجابة. وسيتعمق هذا المساق في المعارف الأساسية للغة CSS3 ليحوي موضوعات من قبيل الإطارات السلكية والتصميم السلس واستعلامات الوسائط واستخدام نماذج التنميط الحالية مثل بوتستراب. بعد الانتهاء من دراسة المساق، سيتمكن الدارسون من: إيضاح نموذج الجوال أولًا وأهمية الإطارات السلكية في مرحلة التصميم واستخدام إطارات التصاميم الحالية مثل بوتستراب. هذا هو المساق الرابع في تخصص تصميم مواقع الويب للجميع. يُتوقع أن تحظى بإلمامٍ جوهريٍ للغتي HTML وcss عند الالتحاق بهذا المساق. ينصب تركيز المساقات الأخرى على زيادة التفاعل مع لغة البرمجة جافاسكريبت وإنجاز مشروع ختامي.
Python Classes and Inheritance
University of Michigan (via Coursera)
This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create "inherited" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code. The course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the "Data Collection and Processing with Python" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful. This is the fourth of five courses in the Python 3 Programming Specialization.
Erfolgreich Verhandeln: Strategien und Fähigkeiten
University of Michigan (via Coursera)
Wir alle verhandeln täglich. Auf persönlicher Ebene verhandeln wir unter anderem mit Freunden, Familie, Vermietern, Autoverkäufern und Arbeitgebern. Verhandlungen sind auch der Schlüssel zum Geschäftserfolg. Kein Unternehmen kann ohne profitable Verträge überleben. Innerhalb eines Unternehmens kann Verhandlungsgeschick zu Ihrem beruflichen Aufstieg führen. Ich hoffe, dass Sie sich den Hunderttausenden von Lernenden anschließen, die „Erfolgreiches Verhandeln“ zu einem der beliebtesten und am höchsten bewerteten MOOCs weltweit gemacht haben. Im Kurs lernen Sie die vier Schritte einer erfolgreichen Verhandlung kennen und üben diese: (1) Vorbereiten: Planen Sie Ihre Verhandlungsstrategie (2) Verhandeln: Verwenden Sie Schlüsseltaktiken für den Erfolg (3) Schließen: Erstellen Sie den Vertrag (4) Ausführen und bewerten: Das Endspiel Um diesen Kurs erfolgreich abzuschließen und Ihre Verhandlungsfähigkeit zu verbessern, müssen Sie Folgendes tun: (1) Sehen Sie sich die kurzen Videos an (zwischen 5 und 20 Minuten). Die Videos sind interaktiv und enthalten Fragen, mit denen Sie Ihr Verständnis der Verhandlungsstrategie und -fähigkeiten testen können. Sie können Videos schneller oder langsamer abspielen, um sie an Ihr bevorzugtes Zuhör-Tempo anzupassen. Abhängig von Ihrem Zeitplan können Sie sich die Videos über einige Wochen hinweg ansehen oder alle sofort ansehen. Ein Kursteilnehmer, der sich gleich alles angesehen hatte, kam zu dem Schluss, dass „es so gut sei wie Breaking Bad“. Ein anderer Kursteilnehmer verglich den Kurs mit „House of Cards“. In beiden Serien gibt es interessante Beispiele für komplexe Verhandlungen! (2) Testen Sie Ihre Verhandlungsfähigkeiten, indem Sie die Verhandlung in Modul 6 abschließen. Sie können mit einem Freund vor Ort verhandeln oder mithilfe von „Diskussionen“ einen Partner aus einem anderen Teil der Welt finden. Ihr Verhandlungspartner gibt Ihnen Feedback zu Ihren Verhandlungsfähigkeiten. Um Sie bei Ihren Verhandlun...
Data Collection and Processing with Python
University of Michigan (via Coursera)
This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site. The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two. This is the third of five courses in the Python 3 Programming Specialization.
Python Project: Software Engineering and Image Manipulation
University of Michigan (via Coursera)
This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and pytesseract). By the end of the course you will have worked with these different libraries available for Python 3 to create a real-world project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization.
Python Basics
University of Michigan (via Coursera)
This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook "Fundamentals of Python Programming," which is the accompanying text (optional and free) for this course. The course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. This is the first of five courses in the Python 3 Programming Specialization.
Programming for Everybody (Getting Started with Python)
University of Michigan (via Coursera)
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.
Real Estate Development: Building Value in Your Community
University of Michigan (via Coursera)
“Real Estate Development: Building Value in Your Community” provides an introductory understanding of real estate and community development. You will learn the fundamentals of real estate development, including development stages, team building, project feasibility, social impact, and financial modeling. Through immersive, augmented reality experiences, you will be able to identify and analyze neighborhood-scale real estate development projects to determine feasibility and understand the implementation process. The course's unique focus on the community's history, demography, and culture will equip you with the knowledge to develop projects that center the community you’re building them in. By the end of the course, you will have gained the skills and knowledge to begin working with your community to invest in your area and create a positive impact for years to come.
Exploratory Data Analysis for the Public Sector with ggplot
University of Michigan (via Coursera)
Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots. These skills are enhanced with lessons on best practices for good information visualization design. Upon completing this course, you will understand the layered grammar of graphics and its implementation in ggplot2, all while exploring a diverse set of authentic public datasets. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the second of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early-career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
GenAI in Business: Discover the Possibilities
University of Michigan (via Coursera)
In this course, you’ll explore the transformative possibilities that generative AI offers to businesses. We begin by examining how generative AI is reshaping industries, automating routine tasks, and driving innovation in customer interactions and strategic insights. Through a detailed real-world case study, you will see how a large, complex business successfully implemented a generative AI solution, turning it into a valuable productivity tool. This course introduces the "See" phase of the See, Plan, Act framework. This framework is designed to help you explore each step of the implementation process, and learn how to connect generative AI with your own data to transform it from a general tool into a customized solution tailored to your specific business needs. By the end of this course, you’ll be able to identify and evaluate new opportunities where generative AI can create value for your organization, giving you the foundational knowledge to move forward with confidence in your AI strategy. This course helps lay the groundwork for the next phase: planning and executing a successful generative AI implementation in your business. This is the first course in the “Generative AI in Business,” a course series for business professionals interested in using generative AI to support, enhance, and amplify the work of their organizations.
Web Design for Everybody Capstone
University of Michigan (via Coursera)
The capstone will develop a higher-quality web portfolio. Students will demonstrate the ability to design and implement a responsive site for a minimum of three platforms. Adherence to validation and accessibility standards will be required. The evolving student implementations will be reviewed each week by capstone peers and teaching assistants to make sure that the student keeps up with the agenda of the course. Upon completion of this course students will feel comfortable creating and/or updating existing front-end sites, utilizing existing frameworks, and testing sites for accessibility compliance. This course is only open to students who have completed the first four courses in the Web Design for Everybody specialization: Introduction to HTML5, Introduction to CSS3, Interactivity with JavaScript, and Advanced Styling with Responsive Design.
Visualizing Women's Work: Using Art Media for Social Justice
University of Michigan (via Coursera)
Discover the historical erasure of women’s work through social justice art Public art has often ignored the work and legacy of minorities and women, but recently there has been a welcome reappraisal of publicly displayed visual monuments and art media. This course dives into the artistic process, exploring how art has the power to address issues of social justice and gender equality and answer historic injustices. Critique art history through the lens of gender You’ll begin the course by evaluating public monuments in terms of form, content, and context, undertaking a critical analysis of art through a social justice lens. With a focus on both the local and global picture, you’ll address the historical erasure of women’s work – compensated and uncompensated – learning about the role of gender bias in historical public art. Examine the creative process and creative research The course will also give you a foundation in visual literacy and interpretation, as you explore the artistic process and creative practice as a form of research. You’ll then learn how to develop your own media-based or literary projects that respond to gender bias in public commemoration. Examine real-world examples of social justice art projects On the final sections of the course, you’ll identify and interpret existing art-based social justice projects in a variety of media, including site-specific work and web-based initiatives. Learning alongside world-renowned visual and performance artist Melanie Manos, you’ll come away armed with creative and provocative ways to counter historical erasure in public art.
Intro to AR/VR/MR/XR: Technologies, Applications & Issues
University of Michigan (via Coursera)
This first course in the XR for Everybody specialization creates a foundational understanding of the differences between AR, VR, MR, and XR. The course provides learners with a broad overview of the rapidly evolving XR space and the tools to characterize future XR developments and assess their potential and limitations. It establishes key concepts and dives into the XR device landscape, helping learners to differentiate current and future platforms and devices as well as critique the use of VR or AR in applications. The course pivots in the second half to look more at how to shape the future of XR, by analyzing trends and raising issues such as COVID-19, social and ethical concerns, accessibility and equity, as well as privacy and security. The course comes with an honors track in which learners will try out and classify existing XR applications, pick technologies when designing solutions for various XR application scenarios, and dive into the issues contributing to the larger discussion around trends and the future of XR.
Michigan Sport-Related Concussion Training Certification
University of Michigan (via Coursera)
Welcome to the Michigan Sport-Related Concussion Training Certification. In this course, you will learn about five key components of sport-related concussions: identify medical emergencies, debrief the Michigan Youth Concussion Legislature, review rest and rehabilitation principles after a concussion occurs, understand the return to learn and return to school progressions, and finally become knowledgeable of the potential long-term consequences of head impact exposure on brain health. This free course satisfies the state-mandated requirement for concussion training in the state of Michigan. It can be completed in approximately 20 minutes. In order to obtain the certificate showing you have met the Michigan state-mandated requirement, you must correctly answer every question on the quiz at the conclusion of this course. The five lead instructors for this course, Dr. Steve Broglio, Dr. Matt Lorincz, Dr. Andrea Almeida, Dr. Doug Wiebe, and Dr. JT Eckner, are all affiliated with the Michigan Concussion Center, which strives to maximize societal and individual health through the relentless pursuit of concussion knowledge. Dr. Almeida, Dr. Lorincz and Dr. Eckner are also affiliated with Michigan NeuroSport. The goal of Michigan NeuroSport is to inspire and implement solutions for prevention and treatment of sport-related concussions and their potential long-term consequences. Note for learners enrolled on Coursera: If you successfully pass the quiz at the end of this course, you will receive an official Michigan Sport-Related Training Certificate, even if a "Full Course, No Certificate" message appears in enrollment on Coursera. An additional Coursera completion certificate will not be issued.
التأثير على الأشخاص
University of Michigan (via Coursera)
ستعمل هذه الدورة التدريبية على تحسين قدرتك على التأثير على الأشخاص في المواقف التي لا يمكنك فيها استخدام السُلطة الرسمية. وستتعلم طرقًا فعّالة لبناء قاعدة سُلطة ونفوذ في مؤسستك وتعزيزها والحفاظ عليها. وستتعلم أيضًا أساليب التأثير التي تمكّنك من أن تكون أكثر إقناعًا وتأثيرًا في العمل مع رؤسائك وزملائك وحتى مرؤوسيك. وبالإضافة إلى ذلك، ستتعلم كيفية بناء علاقات جيدة والحفاظ عليها لتعزيز سُلطتك غير الرسمية وقدرتك على التأثير على الآخرين. والأهم من ذلك، أنك ستعرف الفرق بين التأثير والتلاعب وستتعلم كيفية حماية نفسك من تأثير الآخرين عليك بطريقة غير مرغوبة. ستساعدك إستراتيجيات التأثير التي تتعلمها في هذه الدورة التدريبية على أن تكون قائدًا ومحاضرًا وصانع قرار أكثر ثقة وتأثيرًا. وستكون أكثر فعالية في طرح أفكار العمل على رؤسائك والتأثير على العملاء وإقامة تحالفات بين أصحاب المصلحة. لن تمنحك هذه الدورة التدريبية توجيهات إستراتيجية بشأن كيفية تطوير شبكة علاقاتك والحفاظ عليها من أجل التأثير والسُلطة فحسب، بل ستزودك أيضًا بأساليب وإستراتيجيات محددة أثبتت فعاليتها في الحصول على السُلطة والتأثير على الأشخاص.
Using AI to Expand Creativity
University of Michigan (via Coursera)
“Using AI to Expand Creativity” encourages you to think deeply about AI and its relationship to the essential humanity of creative expression. With the rapid adoption, growth, and development of contemporary AI tools, we believe teaching you how to think about this fundamental dynamic will prepare you for an unpredictable future. This course features instructor-led discussions of the history of AI's implementation in twentieth and twenty-first-century art and a contemplation of technology's basic impact on creative practice. Guest lectures also feature experts Brian Miller, Brian Gogan, Julie Zhu, and Kelly Hoppenjans, who will discuss experimental uses of AI tools, including AI-powered robotic musical performance. As the final course in this three-course series, you will engage with work from the previous two courses to deliver a cumulative experience that will transform your future engagement with AI tools. This is the third course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.
Using Public Policy for Social Change
University of Michigan (via Coursera)
Using Public Policy for Social Change provides a comprehensive introduction to public policy and its role in addressing societal challenges, with a focus on social inequalities. You’ll explore various areas of policy work, including social welfare, public health, the environment, education, and criminal justice. Learn the fundamentals of public policy design and analysis, and how policymaking functions across all levels of government in democracies worldwide. The course offers the opportunity to delve into social issues you care about, learn from real-life policymakers and advocates, and strengthen your analytical, critical thinking, and advocacy skills to create positive social change. Using Public Policy for Social Change leads you through each step of the policymaking process and encourages you to see how your talents and passions can play a role in making the world a more equitable place.
Building Web Applications in PHP
University of Michigan (via Coursera)
In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.
Human Capital: Strategic HR and Managing Talent
University of Michigan (via Coursera)
“Human Capital: Strategic HR and Managing Talent” explores the importance of finding and cultivating talent that transforms your organization. Learn how strategic human capital management drives organizational success and empowers you to align talent management with company goals. Develop a comprehensive framework for leadership and management that fully leverages human capital, equipping you to navigate the complexities of modern HR. Gain valuable skills in identifying and growing talent through proven human resources frameworks, and understand how to leverage these skills throughout your organization’s strategy execution. In addition to building your talent acquisition skills, this course explores the role of technology, including AI and people analytics, in evolving HR practices. Gain insights into using these innovations to enhance decision-making and strategic planning. By engaging with these topics, you'll understand how to assess and implement strategies that align with your organization's broader objectives. This is the second course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.
Life Cycle Assessment
University of Michigan (via Coursera)
This course will introduce you to Life Cycle Assessment (LCA ) methodology, a tool to assess the environmental impact of products and systems over the whole product life cycle, from cradle to grave. After a discussion of the potentials and limitations of quantitative LCA compared to other assessment tools, we will detail and practice each of the LCA phases. 1) The goals and system definition phase defines the goal and scope of the study, including the product function, functional unit, and the product system and its boundaries. 2) The Life Cycle Inventory phase quantifies the inventory of the various elementary flows of resource extractions and substance emissions crossing the system boundary, providing an overview of existing databases. 3) The life cycle impact assessment (LCIA) phase determines multiple environmental impacts damage and provides an overview of the existing LCIA methods 4) The interpretation phase analyses results from an LCA case study to provide recommendations towards more sustainable products. Leading actions in several industrial sectors (agriculture and foods, automotive, personal care products, and energy) will be examined through relevant case studies in order to demonstrate how effective environmental life-cycle assessment leads to new product development.
Inferential Statistical Analysis with Python
University of Michigan (via Coursera)
In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately. At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.
Структуры данных Python
University of Michigan (via Coursera)
В данном курсе описываются основные структуры данных языка программирования Python. Будут рассмотрены основы процедурного программирования, а также способы использования встроенных структур данных Python, например, списков, словарей и кортежей для выполнения сложного анализа данных. В данном курсе рассматриваются главы 6-10 учебника «Python для всех». В этом курсе речь идет о языке Python 3.
Data Science Ethics
University of Michigan (via Coursera)
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten." This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair. Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed.
Programación para todos (Introducción a Python)
University of Michigan (via Coursera)
Este curso se orienta a enseñar los conceptos básicos de programación informática con Python. Abarca los conceptos básicos sobre cómo diseñar un programa a partir de instrucciones simples en Python. El curso no tiene requisitos previos e incluye solo operaciones matemáticas simples. Cualquier persona con algo de experiencia en informática podrá dominar los materiales de este curso. Este curso abarcará los capítulos de 1 a 5 del libro de texto “Python para todos”. Una vez completado este curso, el estudiante estará listo para tomar cursos de programación más avanzados. Este curso abarca Python 3.
Sports Betting: Risks & Ripple Effects Teach-Out
University of Michigan (via Coursera)
Sports betting surpassed $100 billion in revenue worldwide in 2024 and is projected to nearly double by 2030. However, the effects of new policy regulations within the United States and abroad have significantly shifted the sports betting landscape, making it one of the most pressing public health and policy issues of our time. As aggressive marketing strategies increasingly target youth and young adults, concerns are mounting regarding the long-term impact on at-risk populations. In the Sports Betting: Risks & Ripple Effects Teach-Out™, you’ll explore the personal, social, and systemic impacts of sports betting, gain awareness of risks, and consider actions you can take within your own communities. The Teach-Out guides you through the evolution of sports betting, focusing on the distinct tactics and data that betting platforms use to inform their marketing strategies. Covering the effects of sports betting on higher education, the Teach-Out examines the industry’s impact on collegiate athletes and their institutions as they navigate pressure from the industry. The conversation also addresses the reality of gambling addiction, its connection to behaviors like binge drinking, and its broader impact on holistic health. Finally, you will learn how recent regulations can serve as vital harm reduction for those struggling with gambling-related challenges. This Teach-Out is open to anyone interested in learning more about the sports betting industry and its effects on the general population, but it is particularly relevant for young adults and their parents, athletes, educators, and policymakers looking to mitigate the effects of sports betting. Ultimately, you’ll leave this Teach-Out understanding the social, legal, and technological forces that drive the expansion of sports betting, and how you can take action in your own life. When you enroll in the Teach-Out, don’t forget to register for the companion live event, From Fan Engagement to Gamblification: Ethics and ...
Prediction Models with Sports Data
University of Michigan (via Coursera)
In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played. The course will show the learner how to evaluate the reliability of a model using data on betting odds. The analysis is applied first to the English Premier League, then the NBA and NHL. The course also provides an overview of the relationship between data analytics and gambling, its history and the social issues that arise in relation to sports betting, including the personal risks.
Science of Firearm Injury Prevention Among Children & Teens
University of Michigan (via Coursera)
Firearm injuries are a leading cause of death among children and teens. However, there are many ways that these injuries and deaths can be prevented using evidence-based practices and policies. Presented by the University of Michigan Institute for Firearm Injury Prevention and the Firearm Safety among Children and Teens (FACTS) Consortium, this course lays a broad foundation for understanding the science of pediatric firearm injury prevention and the latest research and evidence-based solution. This course covers a range of firearm injury topics including firearm-related suicide, unintentional firearm injury, firearm-related community and youth violence, firearm-related intimate partner violence, school and mass shootings, and officer-involved shootings. Through lectures and interviews from leading firearm injury researchers, and activities, readings, discussion boards, and quizzes, learners can become familiar with the epidemiology, prevention strategies, and policy efforts related to pediatric firearm injury prevention. The course also covers important gaps in existing research and future directions for expanding the knowledge base of the field. This course is designed for multiple fields and levels of training, including students and researchers from public health, medicine, public policy, social work, nursing, criminology, sociology and psychology fields. The course is also appropriate for practitioners, educators and parents. As a learner, you will have the ability to select all modules or individual topics that interest you most. Composed of 7 modules, this course may be taken from the comfort of your home or office, and you can learn at your own pace. Supported by a grant to the University of Michigan by the National Institutes of Health - Eunice Kennedy Shriver National Institute of Child Health and Human Development (NIH/NICHD) (Award Number: R24HD087149) and the University of Michigan Institute for Firearm Injury Prevention. The content is solely the...
Leading Teams
University of Michigan (via Coursera)
In this course, you will learn how to build your team, improve teamwork and collaboration, and sustain team performance through continuous learning and improvement. Specifically, you will learn best practices for composing a team and aligning individual and team goals. You will also learn how to establish roles, build structures, and manage decision making so that your team excels. This course will also help you manage critical team processes such as conflict resolution and building trust that have a profound impact on your team’s performance. You will discuss some of the best ways to harness the productive potential of teams while mitigating the risks and traps of teamwork. In modern organization, most of work is done in teams, yet the results of teamwork are exceptionally mixed. Many teams are poorly designed and structured, fraught with dysfunctional conflict, experience coordination breakdowns and serious motivation challenges. As a result, many teams fail to realize their potential and frequently underperform even individuals working on similar tasks. After completing this course, you will acquire a set of tools and practices that enable you to effectively set up, run, evaluate, and continuously improve your team. Such insights will both make you a more effective team leader but also a standout contributor in team settings.
AI for Autonomous Vehicles and Robotics
University of Michigan (via Coursera)
In this course, you will delve into the groundbreaking intersection of AI and autonomous systems, including autonomous vehicles and robotics. “AI for Autonomous Vehicles and Robotics” offers a deep exploration of how machine learning (ML) algorithms and techniques are revolutionizing the field of autonomy, enabling vehicles and robots to perceive, learn, and make decisions in dynamic environments. Through a blend of theoretical insights and practical applications, you’ll gain a solid understanding of supervised and unsupervised learning, reinforcement learning, and deep learning. You will delve into ML techniques tailored for perception tasks, such as object detection, segmentation, and tracking, as well as decision-making and control in autonomous systems. You will also explore advanced topics in machine learning for autonomy, including predictive modeling, transfer learning, and domain adaptation. Real-world applications and case studies will provide insights into how machine learning is powering innovations in self-driving cars, drones, and industrial robots. By the course's end, you will be able to leverage ML techniques to advance autonomy in vehicles and robots, driving innovation and shaping the future of autonomous systems engineering.
Alexander Technique: Balanced Posture for Ease and Comfort
University of Michigan (via Coursera)
Many of us spend our days sitting at a desk, looking down at our phones, or moving in ways that cause significant discomfort for our bodies. In the Alexander Technique: Balanced Posture for Ease and Comfort, explore how this novel approach to your body’s organization and coordinated movement can help relieve pain and tension, promote calm, improve sleep, and allow you to breathe fully and easily without effort. The Alexander Technique has been taught for more than 100 years to help artists, musicians, and actors improve their craft, but this method can help anyone examine our body's natural movements and readjust based on the wears and tears of everyday life. Through verbal instructions, graphics, videos, and demonstrations, you’ll learn to better align with our body's natural movements. By the end of this course, you will be thinking of your relationship to your body and its movements in an entirely new – and more comfortable – way.
Healthy and Sustainable Foods
University of Michigan (via Coursera)
This course focuses on healthy and sustainable foods. After reviewing the crucial role of food for both health and the environment, we first look at the carbon footprint and environmental impacts of multiple ingredients and more complex foods. We also detail a health-based approach to quantify the impact of 5000+ individual foods on health, expressed in minutes of life lost and gain per serving. We then analyze trade-offs and targeted changes that can bring substantial health and environmental benefits with less than 10% caloric change. We finally address the health and sustainable performances of various diets, looking at disparities between gender, races and diets.
Additive Manufacturing
University of Michigan (via Coursera)
This course, Additive Manufacturing, is the third course in the Coursera Specialization, Digital Technologies and the Future of Manufacturing. In this course, learners will be introduced to the concept of Additive Manufacturing, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. Considerations include the economics of the technology, information technology infrastructure, manufacturing ecosystem partners, the business value of implementing Additive Manufacturing, and what needs to happen across the organization to ensure successful implementation. Learners will hear from industry experts as they share their perspectives on the opportunities and challenges of implementing Additive Manufacturing, how Additive Manufacturing is being implemented in their companies, and insights on the future of this technology within their industry and across manufacturing. The content presented in this course draws on a number of real-life interviews and case studies, and was created through a partnership with Siemens.
How to Create a Good Business
University of Michigan (via Coursera)
Prioritizing the wellbeing of workers is not just a good - or ethical - thing to do, but because it makes business sense. A happier, healthier workforce is a more productive workforce. A productive workforce is more likely to attend, perform their best work, and add more value to an organization. Unfortunately, investing in the well-being of workers isn’t so simple. In this course, you’ll unpack what “worker wellbeing” means across different contexts, explore how to use research techniques to find the sweet spot between worker interests and firm interests, and understand how to design scalable solutions to enable both parties to thrive. University of Michigan Stephen M. Ross School of Business Professor Achyuta Adhvaryu, Ph.D., co-founder of research nonprofit, Good Business Lab, will guide you through the course, and share how research-based interventions can affect worker and business outcomes. Leaders from academia, research, business, and workers themselves, share their perspectives coupled with academic research to help you design a worker wellbeing intervention of your own. Whether you’re a student interested in social business, an executive exploring ways to support your teams, or just passionate about this space, there is something in this course for you.
User Experience & Interaction Design for AR/VR/MR/XR
University of Michigan (via Coursera)
This second course in the XR for Everybody specialization looks at how to design new user experiences for XR technologies. The course provides learners with a design thinking mindset and equips them with a fundamental toolbox for creating XR applications using rapid prototyping. It starts with a broad overview of the complete XR design process, discussing different paths to becoming an XR creator, what is generally involved in making XR experiences, and how to best get started. The course then emphasizes design thinking, critiques, and ethics while introducing guidelines and user-centered techniques like design jams. The second half of the course introduces a variety of methods and tools for prototyping both physically and digitally including on the XR devices themselves through immersive authoring. The course has an honors track that guides learners through creating their own storyboard, physical prototype, and digital prototype of an XR experience. You will work on exercises that allow you to practice your design skills and also build XR technologies into your workflow by working with specific templates and new digital tools that allow you to preview physical prototypes on AR/VR devices.
Foundational Skills for Communicating About Health
University of Michigan (via Coursera)
Effective communication is a core skill that nearly every health professional will need and use during their careers. Yet, few health professionals receive even basic training in how to design communications to be clear and successful. As “foundational skills,” the content in this course can be applied to both oral and written communication, within and beyond health. Learners will develop the skills to: analyze and tailor a communication effort for different audiences, develop clear messages, create logical and compelling stories, understand and apply important considerations with language as well as nonverbal communication. This course is valuable and appropriate for both beginning and experienced health professionals who need to communicate effectively with other professionals, patients, policymakers, or the broader public.. Content is relevant to public health professionals, clinicians of all types (medical, nursing, dentists, social work, etc.), health advocates, and scientists and researchers in any health domain..
Applied Text Mining in Python
University of Michigan (via Coursera)
This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
Learning Experience Design: Development and Evaluation
University of Michigan (via Coursera)
Development and Evaluation allows you to build on your knowledge of how people learn and use your understanding of learning design frameworks to bring your own learning designs to life! As you conceptualize assessment as a communication tool, you’ll consider the role of diagnostic, formative, and summative assessments. Look at different assessment formats and how learners can use them to show what they know. Using ideas from cognitive science and multimedia theories, explore how to create engaging and effective content for learners. Most importantly, you’ll think about evaluation approaches to understand the efficacy of your designs for learning, including formative, summative, and confirmative. This course includes an immersive activity to give you a taste of what it is like to independently meet with and consult for project stakeholders. At the conclusion of the course and the series, you’ll turn your attention again to cultivating your identity as a learning experience designer and consider how you can showcase your skills through a learning experience design professional portfolio. For teachers in the state of Michigan: This series, "An Introduction to Learning Experience Design (LXD)," is approved in the state of Michigan for a maximum of 44.5 State Continuing Education Clock Hours (SCECHs) for teachers. The successful completion of all 3 courses in the series will be required to claim SCECHs.
AI for Design and Optimization
University of Michigan (via Coursera)
Artificial intelligence and machine learning are revolutionizing design processes, optimizing strategies, and fostering innovation across industries. "AI for Design and Optimization” offers you the knowledge to harness the power of AI to enhance your own design and optimization capabilities. Mastering key skills such as discerning appropriate AI applications, interpreting model outputs, staying abreast of AI advancements, and effectively communicating the role of AI in projects is essential to effectively leverage these technologies in your practices. You will delve into the fundamentals of AI and their practical application in design and optimization, exploring advanced techniques like generative design, evolutionary algorithms, and topology optimization. This unique curriculum provides a comprehensive introduction to utilizing AI to enhance design creativity and streamline processes.
Programação para todos (Conceitos básicos de Python)
University of Michigan (via Coursera)
Este curso tem como objetivo ensinar a todos os conceitos básicos de programação de computadores usando Python. Abordamos o básico de como criar um programa a partir de uma série de instruções simples em Python. O curso não tem pré-requisitos e evita tudo, exceto a matemática mais simples. Qualquer pessoa com experiência moderada em computadores deve ser capaz de dominar os materiais deste curso. Este curso abordará os capítulos 1 ao 5 do livro “Python para Todos”. Assim que o aluno concluir este curso, estará preparado para fazer cursos de programação mais avançados. Este curso aborda o Python 3.
Big Ideas in Programming: Expressing Yourself with Python
University of Michigan (via Coursera)
Harness the power of Python and its programming concepts to express yourself and refine all the work you do with this online course from the University of Michigan. This course is designed for anyone interested in learning Python. Whether you want to discuss programming with other professionals, teaching others to code or use the language to do your own creative coding, this is the Python course for you! The big ideas in programming are the building blocks that allow you to create large, interesting, and useful programs. Mastering these programming concepts (variables, loops, strings, conditionals, and functions) and data structures (lists, tuples, and dictionaries) in Python will allow you to really express yourself in the digital space. The creative coding/programming skills that you acquire in this Python course will allow you to design and produce personalized stories, filter and transform data, use code visualisers, generate art, predict program output, and write better code that works smarter, not harder. You can expect plenty of interactive practice, engaging assignments, and immediate feedback. This allows you to check your understanding at every step of the way, giving you the chance to really develop your confidence and skill.
Las personas, la tecnología y el futuro de la movilidad
University of Michigan (via Coursera)
¡Bienvenido al curso Las personas, la tecnología y el futuro de la movilidad! Este curso ofrece una introducción no especializada a algunas de las principales innovaciones tecnológicas que se desarrollan actualmente en el ámbito de la movilidad y en el que se invita a los estudiantes a aplicar diversos conceptos de las ciencias sociales para comprender las posibles consecuencias sociales de estas tecnologías. El curso está dirigido a estudiantes de todos los niveles y no requiere formación previa en ingeniería o ciencias sociales. El contenido que se presenta en este curso se basa en una serie de entrevistas y clases, y se creó en asociación con Siemens. El curso también incluye una experiencia interactiva de vídeo en 360º que permite a los estudiantes explorar los componentes principales de un vehículo autónomo, dar un paseo en un coche autónomo y conocer la nueva tecnología de detección que podríamos ver en las ciudades inteligentes de hoy y del futuro. En este curso se desafía a los estudiantes a imaginar la movilidad del futuro de forma más segura, limpia y equitativa. Analizaremos los recientes avances tecnológicos, así como las implicaciones socioeconómicas y políticas, de dos importantes espacios tecnológicos en evolución relacionados con la movilidad: la electrificación y la automatización.
Causes of Racial Inequity in Healthcare
University of Michigan (via Coursera)
The second course of the Addressing Racial Health Inequity in Healthcare specialization you will journey through a survey of critical drivers of racial inequities in healthcare. These critical drivers need to be known in order to implement interventions that can achieve health equity. You will explore issues that arise around the financing of healthcare in the U.S, and how this system enables race-based disparities. You will then explore the multiple dimensions of access to care, and how various dimensions perpetuate racial inequities in care. You will also discuss the historical backdrop of mistreatment in healthcare settings that remains pervasive among racial groups. And finally, you will unpack implicit bias and how these biases influence diagnosis and treatment patterns among different racial groups.
JavaScript, jQuery, and JSON
University of Michigan (via Coursera)
In this course, we'll look at the JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. We'll explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn more about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/jQuery). It is assumed that learners have already taken the Building Web Applications and Building Database Applications in PHP courses in this specialization.
UX Design: From Concept to Prototype
University of Michigan (via Coursera)
Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation. What You’ll Learn: Define and scope the design problem you will try to address Create user stories and storyboards to transform information about user needs into design concepts Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution Develop interface wireframes to concretize the design and enable early user testing Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions Develop high-fidelity mockups that specify visual design elements Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)
Liderazgo de equipos
University of Michigan (via Coursera)
En este curso, aprenderá cómo construir su equipo, mejorar el trabajo en equipo y la colaboración, y mantener el desempeño del equipo a través del aprendizaje y la mejora continuos. Específicamente, aprenderá las mejores prácticas para componer un equipo y alinear los objetivos individuales y del equipo. También aprenderá a establecer roles, construir estructuras y administrar la toma de decisiones para que su equipo sobresalga. Este curso también lo ayudará a administrar los procesos críticos del equipo, como la resolución de conflictos y la generación de confianza, que tienen un impacto profundo en el desempeño de su equipo. Discutirá algunas de las mejores formas de aprovechar el potencial productivo de los equipos mientras se mitigan los riesgos y las trampas del trabajo en equipo. En la organización moderna, la mayor parte del trabajo se realiza en equipo, pero los resultados del trabajo en equipo son excepcionalmente variados. Muchos equipos están mal diseñados y estructurados, plagados de conflictos disfuncionales, experimentan fallas de coordinación y serios desafíos de motivación. Como resultado, muchos equipos no se dan cuenta de su potencial y con frecuencia tienen un desempeño inferior incluso a las personas que trabajan en tareas similares. Después de completar este curso, adquirirá un conjunto de herramientas y prácticas que le permitirán configurar, ejecutar, evaluar y mejorar continuamente su equipo de manera efectiva. Estos conocimientos lo convertirán en un líder de equipo más eficaz, pero también en un colaborador destacado en la configuración del equipo.
Writing and Editing: Drafting
University of Michigan (via Coursera)
This third course in the “Good with Words: Writing and Editing” series will give you a number of strategies to help with what is often the most intimidating, even paralyzing part of the writing process: getting started. You’ll learn about the “planning fallacy” and “temptation bundling.” You’ll get a chance to experiment with “freewriting” and “writing before you are ready.” And you’ll continue to benefit, through our ongoing “Good Sentences” and “Takeaways” segments, from the models and advice of a diverse set of writers. As with the other three courses in this series, you will also get access to a wide range of books and other resources you can use even after you finish the course. These include: (1) the readings and exercises provided to the students who have taken the in-person version of this course at the University of Michigan and the University of Chicago; (2) two digital libraries of excellent writing from a diverse collection of journalists, scientists, novelists, poets, historians, and entrepreneurs; and (3) a monthly “Good Sentences” email.
Leading People and Teams Capstone
University of Michigan (via Coursera)
Interviews in organizations constitute a cornerstone of talent selection and promotion practices. One of the key goals of the interview process is to understand how you would approach a variety of leadership challenges at work, given your knowledge, expertise, and prior work experience. Within the context of this interview, your primary objective for the capstone assignment is to use content from the specialization to demonstrate your knowledge of key leadership skills. The benefits of incorporating the specialization content into your interview responses extend well beyond the Leading People and Teams Specialization. Thinking about your past work experiences using the concepts, tools, and frameworks you learned in the specialization will enable you to reflect more deeply on your past actions and their outcomes. Furthermore, we selected questions for the mock interview from actual job interviews. In other words, in your future interviews, it is likely you will be asked similar questions. Thus, by working through the capstone, you will be investing in your own interview preparation and increasing the likelihood of performing well in your future interviews.
Introduction to Data Science in Python
University of Michigan (via Coursera)
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.
Python Debugging: A Systematic Approach
University of Michigan (via Coursera)
In “Python Debugging: A Systematic Approach,” you will develop essential coding skills for data science, focusing on writing, testing, and debugging code. You will learn foundational Python concepts, such as looping, control structures, variables, and basic debugging techniques. You will also learn how a structured debugging procedure can help you debug more effectively and efficiently. Throughout the course, you’ll practice essential programming concepts such as map, filter, and list comprehension. You’ll learn how to take a systematic approach to debugging with the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – allowing you to spot errors more easily and adjust your code. In addition to frameworks to help you improve your code, you’ll explore how documentation, internet resources, and even large language models (LLMs) can help you identify and fix errors. By the end of this course, you should feel confident in your abilities to write clean, efficient, and reusable code. This is the first course in the four-course series, “Data-Oriented Python Programming and Debugging,” where you’ll work to strengthen your programming capabilities and enhance your problem-solving skills.
البرمجة للجميع - بدء استخدام بايثون
University of Michigan (via Coursera)
تهدف هذه الدورة إلى تعليم الجميع أساسيات برمجة أجهزة الكمبيوتر باستخدام بايثون. إننا نغطي أساسيات كيفية إنشاء برنامج من سلسلة من التعليمات البسيطة في بايثون. لا يوجد متطلبات مسبقة للدورة التدريبية وهي لا تستخدم سوى أبسط قواعد الرياضيات. يجب أن يتمكن أي شخص لديه خبرة معتدلة في الكمبيوتر من إتقان المواد في هذه الدورة. تغطي هذه الدورة الفصول من 1 إلى 5 بالكتاب المقرر "بايثون للجميع". بمجرد إكمال الطالب للدورة التدريبية، سيكون جاهزًا لأخذ دورات تدريبية في البرمجة أكثر تقدمًا. تغطي هذه الدورة التدريبية بايثون 3.
Hearing Loss in Children
University of Michigan (via Coursera)
Approximately 2 to 3 out of 1000 children in the United States are born with a significant hearing loss. Early identification and intervention of hearing loss is crucial to children’s lifelong learning outcomes. It is well documented that later identification of hearing loss can lead to significant delays in children’s speech, language, literacy, social and emotional development. This course addresses gaps currently existing in the health education curriculum for pediatric hearing loss and gives learners the foundational knowledge that can be applied immediately in a broad range of health, educational, and home settings. Benefits of the course include: • Basics of hearing and vestibular systems • Overview of early hearing screening programs • Clinic videos related to diagnosis, treatment & management of hearing loss in children • Personal interviews with children who are Deaf or Hard of Hearing • Overview of the public health & educational infrastructure supporting children who are Deaf or Hard of Hearing • Taught by multi-disciplinary pediatric experts • Exclusive operating room footage exploring ear anatomy and surgical ear procedures The University of Michigan Medical School designates this enduring material for a maximum of 11.5 AMA PRA Category 1 Credit(s)™. The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. This activity contributes to the CME component of the American Board of Pediatrics’s Maintenance of Certification Part II program. More information can be found in the course. If you would like to earn CME/MOC credit for participating in this course, please review the information in the course prior to beginning the activity. At the end of the course you will get specific instructions on how to get your free CME.