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
- 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: 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 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
- 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 complete list of online courses, please visit our complete collection, 1,700 Free Online Courses from Top Universities.
For a list of online certificate programs, visit 200 Online Certificate & Microcredential Programs from Leading Universities & Companies, which features programs from our partners Coursera, Udacity, FutureLearn and edX.
And if you’re interested in Online Mini-Masters and Master’s Degrees programs from universities, see our collection: Online Degrees & Mini Degrees: Explore Masters, Mini Masters, Bachelors & Mini Bachelors from Top Universities.
