Tableau, Power BI, matplotlib, D3.js, dashboards
1,805 courses available
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Udemy
Découvrez la peinture abstraite (abstract painting, acrylic painting, peinture acrylique). Beginner-friendly UI/UX & Design course on Udemy with 2 hours of content. Rated 5.0/5 by 2 learners. Price: $49.99. Taught in French.
Udemy
Learn how to prepare meaningful, dynamic, and actionable data-driven reports with Google Data Studio. Advanced-level Business & Finance course on Udemy with 6 hours of content. Rated 5.0/5 by 2 learners. Price: $199.99.
Udemy
Automate Pricing, Running PPC Ads, Save Money through Less Fees, and more!. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 1 learners. Price: $49.99.
Udemy
Workshop ministrado entre os dias 08 a 12 de Junho de 2020. Beginner-friendly Business & Finance course on Udemy with 8 hours of content. Rated 5.0/5 by 1 learners. Price: $129.9. Taught in Portuguese.
Udemy
Aprende a desarrollar procesos ETL, DAX, modelado, visualización y análisis de datos, diseño de dashboards, entre otros. Beginner-friendly Business & Finance course on Udemy with 10 hours of content. Rated 5.0/5 by 1 learners. Price: $49.99. Taught in Spanish.
Udemy
A practical On-Demand project with QlikView. Beginner-friendly Programming & DSA course on Udemy with 1 hour of content. Rated 5.0/5 by 2 learners. Price: $24.99.
Udemy
Download your bills as excel or text files and visualize them with Power BI Desktop Application. Analyze your spending. Beginner-friendly Business & Finance course on Udemy with 3 hours of content. Rated 5.0/5 by 1 learners. Price: $27.99.
Udemy
Excelente curso inédito de Power BI para os usuários do Primavera P6. Beginner-friendly Programming & DSA course on Udemy with 2 hours of content. Rated 5.0/5 by 1 learners. Available for free. Taught in Portuguese.
Udemy
Truly practical course to convert your raw data in to meaningful dashboard (Template and Data included). Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 4 learners. Price: $19.99.
Udemy
От Power Query и Pivot - к основам Power BI. Вся сила надстроек Power в одном курсе - используйте вместе на всю мощь!. Beginner-friendly Business & Finance course on Udemy with 12 hours of content. Rated 5.0/5 by 129 learners. Price: $29.99. Taught in Russian.
Udemy
Comprende y mejora los tiempos e interacción de tus reportes en POWER BI. Beginner-friendly Business & Finance course on Udemy with 1 hour of content. Rated 5.0/5 by 3 learners. Price: $84.99. Taught in Spanish.
Udemy
Plan Your Day, Manage Your Work, and Stay Organized With Custom Notion Pages. Beginner-friendly UI/UX & Design course on Udemy with 1 hour of content. Rated 5.0/5 by 1 learners. Price: $19.99.
Udemy
Aprenda a usar o Tableau Prep e automatize seu processo de preparação de dados!. Beginner-friendly Data Science & Analytics course on Udemy with 2 hours of content. Rated 5.0/5 by 4 learners. Price: $79.9. Taught in Portuguese.
Udemy
POWER BI WITH THE M-LANGUAGE, DAX, STATISTICS, VBA AND EXCEL WITH PRACTICAL APPLICATIONS USING A CASE STUDY. Beginner-friendly Data Science & Analytics course on Udemy with 3 hours of content. Rated 5.0/5 by 1 learners. Price: $19.99.
Udemy
Create a P&L in Power BI. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 2 learners. Price: $19.99.
Udemy
O curso intermediário de Tableau para Business Intelligence e Visualização de Dados!. Beginner-friendly Data Science & Analytics course on Udemy with 6 hours of content. Rated 5.0/5 by 59 learners. Price: $79.9. Taught in Portuguese.
Udemy
Se torne um profissional em Metabase!. Beginner-friendly Business & Finance course on Udemy with 4 hours of content. Rated 5.0/5 by 6 learners. Price: $84.9. Taught in Portuguese.
Udemy
You will be able to understand globally about the data connectivity system, the software used and how t. Beginner-friendly Data Science & Analytics course on Udemy with 1 hour of content. Rated 5.0/5 by 1 learners. Price: $44.99.
Udemy
Відкрийте для себе силу потужних та інформативних візуалізацій даних в MS Excel і Tableau Public. Beginner-friendly Data Science & Analytics course on Udemy with 2 hours of content. Rated 5.0/5 by 5 learners. Price: $29.99. Taught in Ukrainian.
Udemy
Exam DA-100: Analyzing Data with Microsoft Power BI. Beginner-friendly Cloud & DevOps course on Udemy. Rated 5.0/5 by 3 learners. Price: $19.99.
Udemy
Tips, Tools and Techniques for Data Aggregation, Storage, Processing, Analysis & Visualization with Open Source Software. Beginner-friendly Data Science & Analytics course on Udemy with 4 hours of content. Rated 5.0/5 by 1 learners. Price: $49.99.
Udemy
Aprenda a implantar e administrar o Power BI na sua empresa, organização ou projeto. Beginner-friendly Business & Finance course on Udemy with 9 hours of content. Rated 5.0/5 by 268 learners. Price: $269.9. Taught in Portuguese.
Udemy
Ofsted Inspection Dashboard and Analyse School Performance Service. Primary phase. Beginner-friendly English & Communication course on Udemy with 4 hours of content. Rated 5.0/5 by 1 learners. Price: $189.99.
Udemy
Mostrando um ritmo de treino. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 1 learners. Price: $84.9. Taught in Portuguese.
Udemy
From a beginner to impressing your boss!!. Beginner-friendly Business & Finance course on Udemy with 15 hours of content. Rated 5.0/5 by 71 learners. Price: $19.99.
Udemy
A Comprehensive Video Tutorial Series on Creation of a Dashboard to Evaluate Projects' Performance. Beginner-friendly Business & Finance course on Udemy with 4 hours of content. Rated 5.0/5 by 1 learners. Price: $49.99.
Udemy
Construção de dashboards em duas das principais ferramentas do mercado. Beginner-friendly Business & Finance course on Udemy with 5 hours of content. Rated 5.0/5 by 1 learners. Price: $79.9. Taught in Portuguese.
Udemy
Master Tableau Functions & Calculations. Beginner-friendly Business & Finance course on Udemy with 12 hours of content. Rated 5.0/5 by 1 learners. Price: $94.99.
Udemy
Evolução do conhecimento em Excel desde o básico até a criação de Dashboards. Beginner-friendly Business & Finance course on Udemy with 3 hours of content. Rated 5.0/5 by 2 learners. Price: $79.9. Taught in Portuguese.
Udemy
Do Business até os Dados. Beginner-friendly Business & Finance course on Udemy with 3 hours of content. Rated 5.0/5 by 2 learners. Price: $79.9. Taught in Portuguese.
Udemy
Power Query - Power BI konularını sıfırdan detaylı bir şekilde öğrenebileceğiniz kapsamlı bir eğitim. Beginner-friendly Business & Finance course on Udemy with 11 hours of content. Rated 5.0/5 by 1 learners. Price: $24.99. Taught in Turkish.
Udemy
สร้าง Dashboard Intelligence // Technical to creating Excel Dashboard for Sales สำหรับผู้บริหารงานขาย. Beginner-friendly Business & Finance course on Udemy with 6 hours of content. Rated 5.0/5 by 1 learners. Price: $99.99. Taught in Thai.
Udemy
La Master Class qui vous donne des bonnes pratiques et des astuces pour être un Analyste BI aguerri. Advanced-level Business & Finance course on Udemy with 1 hour of content. Rated 5.0/5 by 1 learners. Price: $129.99. Taught in French.
Udemy
كورس لتعليم برنامج الــ Power BI من الصفر وحتي الاحتراف. Beginner-friendly English & Communication course on Udemy with 6 hours of content. Rated 5.0/5 by 2 learners. Price: $79.99. Taught in Arabic.
Udemy
Aprende DAX desde 0 con Power BI. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 1 learners. Price: $99.99. Taught in Spanish.
Udemy
PowerBI Complete training. Beginner-friendly Business & Finance course on Udemy with 8 hours of content. Rated 5.0/5 by 5 learners. Price: $19.99.
Udemy
Aprenda a construir painéis completos no Tableau Desktop em apenas um curso!. Beginner-friendly Data Science & Analytics course on Udemy with 8 hours of content. Rated 5.0/5 by 2 learners. Price: $79.9. Taught in Portuguese.
Udemy
Don’t let these mistakes be an obstacle to becoming the top Tableau designer in your company. Beginner-friendly Data Science & Analytics course on Udemy with 1 hour of content. Rated 5.0/5 by 48 learners. Price: $19.99.
Udemy
Microsoft Excel : création de tableaux croisés dynamiques et d'un tableau de bord. Beginner-friendly Business & Finance course on Udemy with 3 hours of content. Rated 5.0/5 by 7 learners. Price: $94.99. Taught in French.
Udemy
Alles was du über den Power BI Dienst wissen musst. Was ist der Power BI Dienst? Der Power BI Dienst einfacherklärt. Beginner-friendly Business & Finance course on Udemy with 3 hours of content. Rated 5.0/5 by 4 learners. Price: $94.99. Taught in German.
Udemy
Microsoft Excel : création d'un tableau de bord à l'aide de power query et power pivot. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 6 learners. Price: $94.99. Taught in French.
Udemy
Formação completa em Power BI! Vire um especialista em dashboards na mais poderosa ferramenta de Business Intelligence. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 382 learners. Available for free. Taught in Portuguese.
Udemy
Wie du eine GuV in Power BI Desktop bauen kannst. Beginner-friendly Business & Finance course on Udemy with 2 hours of content. Rated 5.0/5 by 3 learners. Price: $19.99. Taught in German.
Udemy
GET UP AND RUNNING WITH VISUALIZATIONS, CUSTOM VISUALS, TOOLTIPS AND AI. Beginner-friendly Cloud & DevOps course on Udemy with 1 hour of content. Rated 5.0/5 by 1 learners. Price: $19.99.
Udemy
Devops / SRE technology: docker, kubernetes, istio, grafana, prometheus, gitops, google kubernetes engine, argocd, kiali. Beginner-friendly Cloud & DevOps course on Udemy with 11 hours of content. Rated 5.0/5 by 2 learners. Price: $159.99.
Princeton (via Coursera)
Algorithms Part I - Princeton University is a comprehensive intermediate-level resource offered by Princeton, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master Go syntax, goroutines, and channels Build concurrent programs with Go's lightweight threading model Create REST APIs and CLI tools in Go Deploy Go binaries to production servers Duration: Estimated duration: 54 hours of content, designed to be completed in 6-11 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: 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. Princeton 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.
William Fiset (YouTube)
Graph Theory Playlist - William Fiset is a comprehensive intermediate-level resource offered by William Fiset, 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. Being a YouTube-based resource, this offers the flexibility of learning at your own pace. You can pause, rewind, and rewatch complex sections as many times as needed. The video format makes it easy to follow along with coding demonstrations, whiteboard explanations, and live examples. Many students prefer this format because it feels like having a personal tutor walking you through each concept. Comments sections often have additional tips and clarifications from other learners. 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: 15 hours of content, designed to be completed in 2-3 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into 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. William Fiset is a popular educator with a proven track record of helping students achieve career goals. 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.
Reducible (YouTube)
Data Structures Visualized and Explained - Reducible is a comprehensive intermediate-level resource offered by Reducible, 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. Being a YouTube-based resource, this offers the flexibility of learning at your own pace. You can pause, rewind, and rewatch complex sections as many times as needed. The video format makes it easy to follow along with coding demonstrations, whiteboard explanations, and live examples. Many students prefer this format because it feels like having a personal tutor walking you through each concept. Comments sections often have additional tips and clarifications from other learners. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Master arrays, linked lists, stacks, queues, trees, and graphs Implement common algorithms: sorting, searching, and traversal Analyze time and space complexity using Big O notation Solve coding interview questions on these structures Duration: Estimated duration: 5 hours of content, designed to be completed in 1-1 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: 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. Reducible is a popular educator with a proven track record of helping students achieve career goals. 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.
Hadley Wickham
R for Data Science (Free Book) is a comprehensive beginner-level resource offered by Hadley Wickham, 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 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 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. 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. Hadley Wickham 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.
Udemy
Workshop ministrado pelo Youtube entre os dias 13 a 17 de Abril de 2020. Beginner-friendly Business & Finance course on Udemy with 6 hours of content. Rated 4.9/5 by 7 learners. Price: $129.9. Taught in Portuguese.