Data Science Courses
Note: This section includes a lot of Massive Open Online Courses (MOOCs). If you want to enroll in a free version of a MOOC, please select the “Full Course, No Certificate” (edX) or “Audit” (Coursera) option. If you opt to take the course for a certificate/credential, you will be charged.
- A Crash Course in Data Science – Massive Open Online Course (MOOC) – Johns Hopkins
- Applied Data Science – Massive Open Online Course (MOOC) – IBM
- Building a Data Science Team – Massive Open Online Course (MOOC) – Johns Hopkins
- Creating Dashboards and Storytelling with Tableau – Massive Open Online Course (MOOC) – UC Davis
- Data Science (What is Data Science?) – Massive Open Online Course (MOOC) – IBM
- Databases and SQL for Data Science – Massive Open Online Course (MOOC) – IBM
- Data Science Ethics – Massive Open Online Course (MOOC) – University of Michigan
- Data Science: Linear Regression – Massive Open Online Course (MOOC) – Harvard
- Data Science Methodology – Massive Open Online Course (MOOC) – IBM
- Data Science: Probability – Massive Open Online Course (MOOC) – Harvard
- Data Science: Productivity Tools – Massive Open Online Course (MOOC) – Harvard
- Data Science Tools – Massive Open Online Course (MOOC) – IBM
- Data Science: Machine Learning – Massive Open Online Course (MOOC) – Harvard
- Data Science Math Skills – Massive Open Online Course (MOOC) – Duke University
- Data Science: Probability – Massive Open Online Course (MOOC) – Harvard
- Data Science: R Basics – Massive Open Online Course (MOOC) – Harvard
- Data Science: Visualization – Massive Open Online Course (MOOC) – Harvard
- Data Science: Wrangling – Massive Open Online Course (MOOC) – Harvard
- Developing Data Products – Massive Open Online Course (MOOC) – Johns Hopkins
- Essential Design Principles for Tableau – Massive Open Online Course (MOOC) – UC Davis
- Exploratory Data Analysis – Massive Open Online Course (MOOC) – Johns Hopkins
- Getting and Cleaning Data – Massive Open Online Course (MOOC) – Johns Hopkins
- Inferential Statistics – Massive Open Online Course (MOOC) – University of Amsterdam
- Introduction to Big Data – Massive Open Online Course (MOOC) – Microsoft
- Introduction to Computational Thinking and Data Science – Massive Open Online Course (MOOC) – Eric Grimson, John Guttag, and Ana Bell, MIT
- Introduction to Data Science in Python – Massive Open Online Course (MOOC) – University of Michigan
- Introduction to Probability – Massive Open Online Course (MOOC) – Harvard
- Introduction to R for Data Science – Massive Open Online Course (MOOC) – Microsoft
- Linear Regression and Modeling – Massive Open Online Course (MOOC) – Duke University
- Machine Learning – Massive Open Online Course (MOOC) – Andrew Ng, Stanford
- Managing Data Analysis – Massive Open Online Course (MOOC) – Johns Hopkins
- Open Source Tools for Data Science – Massive Open Online Course (MOOC) – IBM
- Practical Machine Learning – Massive Open Online Course (MOOC) – Johns Hopkins
- Probability and Statistics in Data Science using Python – Massive Open Online Course (MOOC) – UCSD
- Python for Data Science and AI – Massive Open Online Course (MOOC) – IBM
- Python Data Structures – Massive Open Online Course (MOOC) – University of Michigan
- R Programming – Massive Open Online Course (MOOC) – Johns Hopkins
- Reproducible Research – Massive Open Online Course (MOOC) – Johns Hopkins
- Statistics and R – Massive Open Online Course (MOOC) – Harvard
- The Data Scientist’s Toolbox – Massive Open Online Course (MOOC) – Johns Hopkins
For a full lineup of online courses, please visit our complete collection of Free Online Courses. Also find comp sci textbooks in our Free Textbook collection.
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