Harvard University

CS50: Introduction to Computer Science - Harvard

Harvard (via edX)

CS50: Introduction to Computer Science - Harvard is a comprehensive beginner-level resource offered by Harvard, 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: 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: 100 hours of content, designed to be completed in 10-20 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: This resource is completely free with no hidden charges. 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. Harvard 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.

Harvard CS50 - Introduction to Computer Science

Harvard (via edX)

Harvard CS50 - Introduction to Computer Science is a comprehensive beginner-level resource offered by Harvard, 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: 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: 100 hours of content, designed to be completed in 10-20 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: This resource is completely free with no hidden charges. 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. Harvard 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.

CS50: Introduction to Computer Science - Harvard

Harvard (via edX)

CS50: Introduction to Computer Science - Harvard is a comprehensive beginner-level resource offered by Harvard, 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: 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: 100 hours of content, designed to be completed in 10-20 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: This resource is completely free with no hidden charges. 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. Harvard 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.

Harvard Stat 110 - Probability

Harvard

Harvard Stat 110 - Probability is a comprehensive advanced-level resource offered by Harvard, 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: 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: 30 hours of content, designed to be completed in 3-6 weeks at a comfortable pace. This is an advanced resource meant for learners who already have solid fundamentals. You should have at least 6 months of hands-on experience or have completed intermediate-level courses in this area. 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: This resource is completely free with no hidden charges. 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. Harvard 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.

CS50 Introduction to Programming with Python - Harvard

Harvard (via edX)

CS50 Introduction to Programming with Python - Harvard is a comprehensive beginner-level resource offered by Harvard, 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: 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 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: This resource is completely free with no hidden charges. 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. Harvard 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.

CS50 Introduction to Artificial Intelligence with Python - Harvard

Harvard (via edX)

CS50 Introduction to Artificial Intelligence with Python - Harvard is a comprehensive intermediate-level resource offered by Harvard, 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: 70 hours of content, designed to be completed in 7-14 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. Harvard 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.

CS50 Introduction to AI with Python - Harvard

Harvard (via edX)

CS50 Introduction to AI with Python - Harvard is a comprehensive intermediate-level resource offered by Harvard, 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: 40 hours of content, designed to be completed in 4-8 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. Harvard 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.

CS50 Web Programming with Python and JavaScript - Harvard

Harvard (via edX)

CS50 Web Programming with Python and JavaScript - Harvard is a comprehensive intermediate-level resource offered by Harvard, focused on building practical skills in web development. 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 web development, including HTML, CSS, JavaScript, React, Node.js, databases, APIs, and 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 modern JavaScript (ES6+) including arrow functions, destructuring, and modules Work with the DOM, events, and asynchronous code (Promises, async/await) Understand closures, prototypes, and the JavaScript event loop Build interactive web features without relying on frameworks Duration: Estimated duration: 80 hours of content, designed to be completed in 8-16 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 web development Freelancers wanting to add new services to their portfolio Self-learners passionate about web development 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 Frontend Developer, Backend Developer, Full Stack Developer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 3-7 LPA Mid-level / 2-5 years: Rs 8-20 LPA Senior / 5+ years: Rs 20-40 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 Razorpay, Zerodha, Swiggy, Google, Microsoft, startups. Web development continues to be the largest employment category in Indian IT. With over 50,000 active startups in India, the demand for web developers shows no signs of slowing. The rise of SaaS products, D2C brands, and digital transformation across traditional businesses means web developers are needed everywhere. Full-stack developers who can handle both frontend and backend are especially valued, commanding 30-50% higher salaries than specialists. Harvard 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.

CS50 Introduction to Artificial Intelligence with Python - Harvard

Harvard (via edX)

CS50 Introduction to Artificial Intelligence with Python - Harvard is a comprehensive intermediate-level resource offered by Harvard, 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: 70 hours of content, designed to be completed in 7-14 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. Harvard 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.

CS50 Web Programming with Python and JavaScript - Harvard

Harvard (via edX)

CS50 Web Programming with Python and JavaScript - Harvard is a comprehensive intermediate-level resource offered by Harvard, focused on building practical skills in government exam preparation. 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 government exam preparation, including quantitative aptitude, logical reasoning, general awareness, and subject-specific knowledge. 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 modern JavaScript (ES6+) including arrow functions, destructuring, and modules Work with the DOM, events, and asynchronous code (Promises, async/await) Understand closures, prototypes, and the JavaScript event loop Build interactive web features without relying on frameworks Duration: Estimated duration: 40 hours of content, designed to be completed in 4-8 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 government exam preparation Freelancers wanting to add new services to their portfolio Self-learners passionate about government exam preparation 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 IAS/IPS Officer, Bank PO, SSC CGL, Railway, GATE qualified. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 35K-60K/month + perks Mid-level / 2-5 years: Rs 70K-1.2L/month + housing Senior / 5+ years: Rs 1.5L-2.5L/month + benefits Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include UPSC, SSC, IBPS, RRB, State PSCs. Government jobs in India receive 10-100x more applications than private sector roles, making preparation quality crucial. UPSC Civil Services received 13+ lakh applications for ~1000 positions. Banking exams (IBPS/SBI) see similar competition. Success in these exams requires not just knowledge but also exam strategy, time management, and consistent practice over 6-18 months. Quality free resources can provide the same preparation as expensive coaching, saving Rs 1-5 lakhs in coaching fees. Harvard 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.

CS50 Introduction to Databases with SQL - Harvard

Harvard (via edX)

CS50 Introduction to Databases with SQL - Harvard is a comprehensive beginner-level resource offered by Harvard, focused on building practical skills in web development. 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 web development, including HTML, CSS, JavaScript, React, Node.js, databases, APIs, and 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: Write SQL queries to retrieve, filter, and aggregate data Master JOINs, subqueries, and window functions Design normalized database schemas Optimize query performance with indexes and execution plans Duration: Estimated duration: 40 hours of content, designed to be completed in 4-8 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 web development Freelancers wanting to add new services to their portfolio Self-learners passionate about web development 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 Frontend Developer, Backend Developer, Full Stack Developer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 3-7 LPA Mid-level / 2-5 years: Rs 8-20 LPA Senior / 5+ years: Rs 20-40 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 Razorpay, Zerodha, Swiggy, Google, Microsoft, startups. Web development continues to be the largest employment category in Indian IT. With over 50,000 active startups in India, the demand for web developers shows no signs of slowing. The rise of SaaS products, D2C brands, and digital transformation across traditional businesses means web developers are needed everywhere. Full-stack developers who can handle both frontend and backend are especially valued, commanding 30-50% higher salaries than specialists. Harvard 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.

Harvard Business Review - Free Articles

Harvard Business Review

Harvard Business Review - Free Articles is a comprehensive advanced-level resource offered by Harvard Business Review, 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 comprehensive text-based learning resource — ideal for learners who prefer reading and reference-style learning over videos. The advantage of text-based resources is that you can easily search for specific topics, bookmark important sections, copy code snippets, and revisit concepts quickly without scrubbing through video timelines. Many working professionals prefer this format as it's easier to learn in short bursts during breaks. 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: 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. This is an advanced resource meant for learners who already have solid fundamentals. You should have at least 6 months of hands-on experience or have completed intermediate-level courses in this area. 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. Harvard Business Review 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.

Harvard CS109 - Data Science

Harvard

Harvard CS109 - Data Science is a comprehensive advanced-level resource offered by Harvard, 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: 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: 40 hours of content, designed to be completed in 4-8 weeks at a comfortable pace. This is an advanced resource meant for learners who already have solid fundamentals. You should have at least 6 months of hands-on experience or have completed intermediate-level courses in this area. 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: This resource is completely free with no hidden charges. 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. Harvard 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.

CS50 Cybersecurity - Harvard

Harvard (via edX)

CS50 Cybersecurity - Harvard is a comprehensive beginner-level resource offered by Harvard, focused on building practical skills in cybersecurity. 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 cybersecurity, including network security, ethical hacking, penetration testing, and incident response. 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 cybersecurity Freelancers wanting to add new services to their portfolio Self-learners passionate about cybersecurity 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 Security Analyst, Penetration Tester, SOC Analyst, Security Engineer. 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 Wipro, HCL, Deloitte, PwC, government agencies. India faces a cybersecurity talent shortage of 500,000+ professionals. With increasing digitization and cyber threats (India saw a 300% increase in cyberattacks in 2024), organizations are desperate for security talent. The Indian government's push for data localization and regulations like DPDP Act 2023 have further increased demand. Cybersecurity professionals enjoy some of the highest job security in tech — once skilled, you're virtually recession-proof. Harvard 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.

Data Science Professional Certificate - HarvardX

Harvard (via edX)

Data Science Professional Certificate - HarvardX is a comprehensive beginner-level resource offered by Harvard, 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 professional certificate program designed to validate your skills for employers. The curriculum has been developed in collaboration with industry experts to ensure it covers exactly what hiring managers look for. Upon completion, you'll receive a shareable certificate that you can add to your LinkedIn profile, include in your resume, and present during job interviews. Many recruiters at Indian tech companies specifically look for these credentials when screening candidates. 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: 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: 150 hours of content, designed to be completed in 15-30 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: This resource is completely free with no hidden charges. 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. Harvard 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.

CS50 Mobile App Development with React Native - Harvard

Harvard (via edX)

CS50 Mobile App Development with React Native - Harvard is a comprehensive intermediate-level resource offered by Harvard, focused on building practical skills in mobile app development. 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 mobile app development, including native and cross-platform development, UI design, API integration, and app publishing. 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: Build interactive single-page applications using React components and hooks Manage application state with useState, useEffect, and Context API Connect React frontends to REST APIs and handle async data fetching Deploy React apps to Vercel, Netlify, or AWS Duration: Estimated duration: 25 hours of content, designed to be completed in 3-5 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 mobile app development Freelancers wanting to add new services to their portfolio Self-learners passionate about mobile app development 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 Android Developer, iOS Developer, React Native Developer, Flutter Developer. 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 25-45 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 PhonePe, Paytm, Swiggy, Google, Samsung, startups. India has 800+ million smartphone users, and mobile app usage continues to grow. Indian apps like PhonePe, Paytm, Swiggy, and Zomato are used by hundreds of millions. This massive user base creates constant demand for mobile developers. Cross-platform frameworks like Flutter and React Native have made it possible for a single developer to ship on both Android and iOS, increasing their value to employers. Harvard 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.

CS50's AP® Computer Science Principles

Harvard University (via edX)

CS50's AP® Computer Science Principles

Crossroads: Fat Chance: Probability from the Ground Up

Harvard University (via edX)

Crossroads: Fat Chance: Probability from the Ground Up

CS50's Introduction to Computer Science

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CS50's Introduction to Computer Science

Crossroads: Introduction to Digital Humanities

Harvard University (via edX)

Crossroads: Introduction to Digital Humanities

CS50's Introduction to Artificial Intelligence with Python

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CS50's Introduction to Artificial Intelligence with Python

CS50’s Computer Science for Business

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CS50’s Computer Science for Business

CS50's Introduction to Programming with C

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CS50's Introduction to Programming with C

CS50's Introduction to Cybersecurity

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CS50's Introduction to Cybersecurity

CS50's Exploring Digital Media

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CS50's Exploring Digital Media

CS50's Introduction to 2D Game Development

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CS50's Introduction to 2D Game Development

CS50's Introduction to Game Development

Harvard University (via edX)

CS50's Introduction to Game Development

CS50's Computer Science for Lawyers

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CS50's Computer Science for Lawyers

CS50's Mobile App Development with React Native

Harvard University (via edX)

CS50's Mobile App Development with React Native

CS50's Introduction to Programming with Python

Harvard University (via edX)

CS50's Introduction to Programming with Python

CS50's Introduction to Programming with R

Harvard University (via edX)

CS50's Introduction to Programming with R

CS50's Introduction to Programming with Scratch

Harvard University (via edX)

CS50's Introduction to Programming with Scratch

CS50's Introduction to Databases with SQL

Harvard University (via edX)

CS50's Introduction to Databases with SQL

CS50's Understanding Technology

Harvard University (via edX)

CS50's Understanding Technology

CS50's Web Programming with Python and JavaScript

Harvard University (via edX)

CS50's Web Programming with Python and JavaScript

Cybersecurity: Managing Risk in the Information Age

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Cybersecurity: Managing Risk in the Information Age

Cybersecurity Fundamentals

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Cybersecurity Fundamentals

Digital Humanities in Practice: From Research Questions to Results

Harvard University (via edX)

Digital Humanities in Practice: From Research Questions to Results

Introduction to Digital Humanities

Harvard University (via edX)

Introduction to Digital Humanities

Dustin Tingley Sandbox Course

Harvard University (via edX)

Dustin Tingley Sandbox Course

Principles of Economics

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Principles of Economics

Early Childhood Development: Global Strategies for Implementation

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Early Childhood Development: Global Strategies for Implementation

AfricaLive! - Entrepreneurship in Emerging Economies

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AfricaLive! - Entrepreneurship in Emerging Economies

The Einstein Revolution

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The Einstein Revolution

Energy Within Environmental Constraints

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Energy Within Environmental Constraints

Big Data for Social Good

Harvard University (via edX)

Big Data for Social Good

Justice

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JusticeX is an introduction to moral and political philosophy, including discussion of contemporary dilemmas and controversies.

Family Engagement in Education: The Dual Capacity-Building Framework

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Family Engagement in Education: The Dual Capacity-Building Framework

Prototype Couse don't USE

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Prototype Couse don't USE

Family Engagement in Education: Dual Capacity-Building Framework

Harvard University (via edX)

Family Engagement in Education: Dual Capacity-Building Framework

Fat Chance: Probability from the Ground Up

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Fat Chance: Probability from the Ground Up

Data Analysis: Basic Probability and Statistics

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Data Analysis: Basic Probability and Statistics

Food Fermentation: The Science of Cooking with Microbes

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Food Fermentation: The Science of Cooking with Microbes

FinTech

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FinTech

Curso virtual de FinTech de la VPAL de Harvard

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Curso virtual de FinTech de la VPAL de Harvard

Food Systems Live!: Entrepreneurship in Emerging Economies

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Food Systems Live!: Entrepreneurship in Emerging Economies

Child Protection: Children's Rights in Theory and Practice

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Child Protection: Children's Rights in Theory and Practice

George's Scratch Course

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George's Scratch Course

Global Health Delivery

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Global Health Delivery

Pyramids of Giza: Ancient Egyptian Art and Archaeology

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Pyramids of Giza: Ancient Egyptian Art and Archaeology

The Architectural Imagination

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The Architectural Imagination

Leaders of Learning

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Leaders of Learning

Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching

Harvard University (via edX)

Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching

Introduction to Family Engagement in Education

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Introduction to Family Engagement in Education

Managing Happiness

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Managing Happiness

Li's Sandbox

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Li's Sandbox

HBSO Mini-Course Template

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HBSO Mini-Course Template

Early Christianity: The Letters of Paul

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Early Christianity: The Letters of Paul

Religion, Conflict and Peace

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Religion, Conflict and Peace

Religious Literacy: Traditions and Scriptures

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Religious Literacy: Traditions and Scriptures

Christianity Through Its Scriptures

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Christianity Through Its Scriptures

Buddhism Through Its Scriptures

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Buddhism Through Its Scriptures

Islam Through Its Scriptures

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Islam Through Its Scriptures

Hinduism Through Its Scriptures

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Hinduism Through Its Scriptures

Judaism Through Its Scriptures

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Judaism Through Its Scriptures

Sikhism Through Its Scriptures

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Sikhism Through Its Scriptures

Methodology [Scriptures: Method and Interpretation]

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Methodology [Scriptures: Method and Interpretation]

Christianity Old Version Do not use

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Christianity Old Version Do not use

Buddhism Old Version Do Not Use

Harvard University (via edX)

Buddhism Old Version Do Not Use

Islam Old Version Do Not Use

Harvard University (via edX)

Islam Old Version Do Not Use

Hinduism Old Version Do Not Use

Harvard University (via edX)

Hinduism Old Version Do Not Use

Judaism [Scriptures: Method and Interpretation]

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Judaism [Scriptures: Method and Interpretation]

The Opioid Crisis in America

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The Opioid Crisis in America

American Government

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American Government

American Government: Constitutional Foundations

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American Government: Constitutional Foundations

U.S. Political Institutions: Congress, Presidency, Courts, and Bureaucracy

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U.S. Political Institutions: Congress, Presidency, Courts, and Bureaucracy

Citizen Politics in America: Public Opinion, Elections, Interest Groups, and the Media

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Citizen Politics in America: Public Opinion, Elections, Interest Groups, and the Media

U.S. Public Policy: Social, Economic, and Foreign Policies

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U.S. Public Policy: Social, Economic, and Foreign Policies

Central Challenges of American National Security, Strategy, and the Press: An Introduction

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Central Challenges of American National Security, Strategy, and the Press: An Introduction

Central Challenges of American National Security, Strategy, and the Press

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Central Challenges of American National Security, Strategy, and the Press

Central Challenges of American National Security, Strategy, and the Press (Application-Only)

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Central Challenges of American National Security, Strategy, and the Press (Application-Only)

Introduction to American Civics: Presented by Zero-L

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Introduction to American Civics: Presented by Zero-L

Contract Law: From Trust to Promise to Contract

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Contract Law: From Trust to Promise to Contract

ContractsX 2017

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ContractsX 2017

JuryX: Deliberations for Social Change

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JuryX: Deliberations for Social Change

Bioethics: The Law, Medicine, and Ethics of Reproductive Technologies and Genetics

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Bioethics: The Law, Medicine, and Ethics of Reproductive Technologies and Genetics

Fundamentals of Clinical Trials

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Fundamentals of Clinical Trials

The Jewish Bible: Its History As A Physical Artifact

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The Jewish Bible: Its History As A Physical Artifact

The Jewish Bible

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The Jewish Bible

Japanese Books: From Manuscript to Print

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Japanese Books: From Manuscript to Print

Making and Meaning in the Medieval Manuscript

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Making and Meaning in the Medieval Manuscript

Scrolls in the Age of the Book

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Scrolls in the Age of the Book

Print and Manuscript in Western Europe, Asia and the Middle East (1450-1650)

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Print and Manuscript in Western Europe, Asia and the Middle East (1450-1650)

The History of the Book in 17th and 18th Century Europe

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The History of the Book in 17th and 18th Century Europe

Book Sleuthing: The Nineteenth Century

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Book Sleuthing: The Nineteenth Century

Monasteries, Schools, and Notaries, Part 1: Reading the Late Medieval Marseille Archive

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Monasteries, Schools, and Notaries, Part 1: Reading the Late Medieval Marseille Archive

Monasteries, Schools, and Notaries, Part 2: Introduction to the Transitional Gothic Script

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Monasteries, Schools, and Notaries, Part 2: Introduction to the Transitional Gothic Script

The Medieval Book of Hours: Art and Devotion in the Later Middle Ages

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The Medieval Book of Hours: Art and Devotion in the Later Middle Ages

Books in the Medieval Liturgy

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Books in the Medieval Liturgy

Ancient Masterpieces of World Literature

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Ancient Masterpieces of World Literature

Modern Masterpieces of World Literature

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Modern Masterpieces of World Literature

Masterpieces of World Literature

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Masterpieces of World Literature

The Ancient Greek Hero

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The Ancient Greek Hero

Shakespeare's Life and Work

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Shakespeare's Life and Work

Hamlet's Ghost

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Hamlet's Ghost

Shakespeare's Hamlet: The Ghost

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Shakespeare's Hamlet: The Ghost

Shakespeare's The Merchant of Venice: Shylock

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Shakespeare's The Merchant of Venice: Shylock

Shylock’s Bond

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Shylock’s Bond

Shakespeare’s Merchant of Venice: Shylock

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Shakespeare’s Merchant of Venice: Shylock

Shakespeare’s Othello: The Moor

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Shakespeare’s Othello: The Moor

Boilerplate Course

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Boilerplate Course

Amanda's Scratch Course

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Amanda's Scratch Course

Launching Breakthrough Technologies

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Launching Breakthrough Technologies

Technology Entrepreneurship: Lab to Market

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Technology Entrepreneurship: Lab to Market

Exercising Leadership: Foundational Principles

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Exercising Leadership: Foundational Principles

Exercising Leadership: Foundational Principles (Arabic)

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Exercising Leadership: Foundational Principles (Arabic)

Reclaiming Argument: Logic as a Force for Good

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Reclaiming Argument: Logic as a Force for Good

Leaders of Learning Essentials

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Leaders of Learning Essentials

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Justice Today: Money, Markets, and Morals

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OLD: Birth of Opera

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First Nights: Monteverdi’s L’Orfeo and the Birth of Opera

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First Nights - Messiah

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Stravinsky’s Rite of Spring: Modernism, Ballet, and Riots

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First Nights - Stravinsky’s Rite of Spring: Modernism, Ballet, and Riots

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19th-Century Opera: Meyerbeer, Wagner, & Verdi

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19th-Century Opera: Meyerbeer, Wagner, & Verdi

PredictionX: The Path to Newton

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Health and Society

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Health and Society

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Business Transformation through a Culture of Health

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Business Transformation through a Culture of Health

Readings in Global Health

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The Health Effects of Climate Change

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The Health Effects of Climate Change

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Statistics and R

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Statistics and R

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Introduction to Linear Models and Matrix Algebra

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Introduction to Linear Models and Matrix Algebra

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Data Analysis for Life Sciences 2: Introduction to Linear Models and Matrix Algebra

Statistical Inference and Modeling for High-throughput Experiments

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High-Dimensional Data Analysis

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Introduction to Bioconductor

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Case Studies in Functional Genomics

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High-performance Computing for Reproducible Genomics

Advanced Bioconductor

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Using Python for Research

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Using Python for Research

Principles, Statistical and Computational Tools for Reproducible Data Science

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You can wreck this course it's ok

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Humanitarian Response to Conflict and Disaster

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Quantitative Methods for Biology

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Social Entrepreneurship and Systems Change

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Science & Cooking: From Haute Cuisine to Soft Matter Science (chemistry)

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Science & Cooking: From Haute Cuisine to Soft Matter Science (physics)

Saving Schools

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Science & Cooking: From Haute Cuisine to Soft Matter Science (part 2)

Prescription Drug Regulation, Cost, and Access: Current Controversies in Context

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Prescription Drug Regulation, Cost, and Access: Current Controversies in Context

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Science & Cooking: From Haute Cuisine to Soft Matter Science

The FDA and Prescription Drugs: Current Controversies in Context

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The FDA and Prescription Drugs: Current Controversies in Context

Science & Cooking - Backup Tester

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Science & Cooking - Backup Tester

Rhetoric: The Art of Persuasive Writing and Public Speaking

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Rhetoric: The Art of Persuasive Writing and Public Speaking

Science & Cooking: From Haute Cuisine to Soft Matter Science (part 1)

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Poetry in America: The Poetry of Early New England

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Poetry in America: The Poetry of Early New England

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Poetry in America: Nature and Nation, 1700-1850

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Poetry in America: Nature and Nation, 1700-1850

The Climate-Energy Challenge

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The Climate-Energy Challenge

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Super-Earths and Life

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Super-Earths and Life

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Poetry in America: Dickinson

Introduction to Probability

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Introduction to Probability

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Poetry in America: The Civil War and Its Aftermath

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Poetry in America: Modernism

Studio Advanced

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Studio Advanced

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JusticeX is an introduction to moral and political philosophy, including discussion of contemporary dilemmas and controversies.

DELETE

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DELETE

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Team Physics: Kinematics

China’s Political and Intellectual Foundations: From Sage Kings to Confucius

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China’s Political and Intellectual Foundations: From Sage Kings to Confucius

Structure and Function of Argument: Introduction to Critical Thinking

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Structure and Function of Argument: Introduction to Critical Thinking

Contemporary China: The People's Republic, Taiwan, and Hong Kong

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Contemporary China: The People's Republic, Taiwan, and Hong Kong

American Religious Pluralism

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China Part 10: Greater China Today: The People's Republic, Taiwan, and Hong Kong

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China Part 10: Greater China Today: The People's Republic, Taiwan, and Hong Kong

Human Anatomy: Musculoskeletal Cases

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Human Anatomy: Musculoskeletal Cases

ChinaX, Part 1: Political and Intellectual Foundations: From the Sage Kings to Confucius and the Legalists

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Evaluating Upward Mobility: The Fading American Dream

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Evaluating Upward Mobility: The Fading American Dream

China’s First Empires and the Rise of Buddhism

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China’s First Empires and the Rise of Buddhism

Big Data Solutions for Social and Economic Disparities

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Big Data Solutions for Social and Economic Disparities

ChinaX Part 2: The Creation and End of a Centralized Empire

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ChinaX Part 2: The Creation and End of a Centralized Empire

Higher Education Teaching Certificate

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Cosmopolitan Tang: Aristocratic Culture in China

Pedagogy for Higher Education

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Pedagogy for Higher Education

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Innovating in Health Care

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Literati China: Examinations, Neo-Confucianism, and Later Imperial China

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Literati China: Examinations, Neo-Confucianism, and Later Imperial China

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Innovating in Health Care Application-Only

ChinaX Part 4: Literati China: Examinations and Neo-Confucianism

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ChinaX Part 4: Literati China: Examinations and Neo-Confucianism

Calculus Applied!

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Calculus Applied!

Global China: From the Mongols to the Ming

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Global China: From the Mongols to the Ming

Strengthening Community Health Worker Programs

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ChinaX Part 5: From Global Empire under the Mongols to a Global Economy under the Ming Dynasty

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ChinaX Part 5: From Global Empire under the Mongols to a Global Economy under the Ming Dynasty

The Quantum World

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The Quantum World

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Modern China’s Foundations: The Manchus and the Qing

Health in Numbers: Quantitative Methods in Clinical & Public Health Research

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Health in Numbers: Quantitative Methods in Clinical & Public Health Research

ChinaX Part 6: The Manchus and the Qing

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ChinaX Part 6: The Manchus and the Qing

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Invasions, Rebellions, and the Fall of Imperial China

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Invasions, Rebellions, and the Fall of Imperial China

Ed Scratch Course

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ChinaX Part 7: Invasions, Rebellions, and the End of Imperial China

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ChinaX Part 7: Invasions, Rebellions, and the End of Imperial China

Testing for Learner Backpack

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Testing for Learner Backpack

Creating Modern China: The Republican Period to the Present

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Creating Modern China: The Republican Period to the Present

Placeholder Course Name

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ChinaX (Part 8): Creating Modern China: The Birth of a Nation

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ChinaX (Part 8): Creating Modern China: The Birth of a Nation

El Mundo Cuántico, Tercera Parte

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China and Communism

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China and Communism

El Mundo Cuántico, Primera Parte

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El Mundo Cuántico, Primera Parte

China Part 9: Communist Liberations

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China Part 9: Communist Liberations

The Return of China

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The Return of China

Global Health Case Studies From a Biosocial Perspective

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Global Health Case Studies From a Biosocial Perspective

The Path to Happiness: What Chinese Philosophy Teaches us about the Good Life

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The Path to Happiness: What Chinese Philosophy Teaches us about the Good Life

Entrepreneurship in Emerging Economies

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Entrepreneurship in Emerging Economies

China Humanities: The Individual in Chinese Culture

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China Humanities: The Individual in Chinese Culture

Fundamentals of TinyML

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ChinaX Book Club: Five Authors, Five Books, Five Views of China

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Applications of TinyML

We The People: Civic Engagement in a Constitutional Democracy

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We The People: Civic Engagement in a Constitutional Democracy

Deploying TinyML

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Deploying TinyML

Civic Engagement in U.S. Constitutional Democracy

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Civic Engagement in U.S. Constitutional Democracy

MLOps for Scaling TinyML

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MLOps for Scaling TinyML

Ventilación mecánica para COVID-19

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Ventilación mecánica para COVID-19

TinyML Bangladesh

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TinyML Bangladesh

Ventilación mecánica para pacientes con COVID-19

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Ventilación mecánica para pacientes con COVID-19

CitiesX: The Past, Present and Future of Urban Life

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CitiesX: The Past, Present and Future of Urban Life

Mechanical Ventilation for COVID-19

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Mechanical Ventilation for COVID-19

Women Making History: Ten Objects, Many Stories

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Women Making History: Ten Objects, Many Stories

Leadership: Creating Public Value

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Leadership: Creating Public Value

Tangible Things

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Tangible Things

Leadership for Purposeful Change: Creating Public Value

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Leadership for Purposeful Change: Creating Public Value

Tangible Things: Discovering History Through Artworks, Artifacts, Scientific Specimens, and the Stuff Around You

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Tangible Things: Discovering History Through Artworks, Artifacts, Scientific Specimens, and the Stuff Around You

CRISPR: Gene-editing Applications

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CRISPR: Gene-editing Applications

Welcome To VPAL

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Welcome To VPAL

Introduction to Data Science with Python

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Introduction to Data Science with Python

Remote Work Revolution for Everyone

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Remote Work Revolution for Everyone

Machine Learning and AI with Python

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Machine Learning and AI with Python

Crossroads: Entrepreneurship in Emerging Economies

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Crossroads: Entrepreneurship in Emerging Economies

Introduction to Neural Networks and Deep Learning with Python

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Introduction to Neural Networks and Deep Learning with Python

Crossroads: Launching Breakthrough Technologies

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Crossroads: Launching Breakthrough Technologies

DSPython Course 3 (temp)

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Crossroads: Strengthening Community Health Workers Programs

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Crossroads: Strengthening Community Health Workers Programs