| Level | Course Title | University | Provider |
|---|---|---|---|
| CS295 | Algorithms, Part I | Princeton University | Coursera |
| CS295 | Algorithms | Saylor | Saylor |
| CS360 | Algorithms, Part II | Princeton University | Coursera |
| CS360 | Algorithms: Design and Analysis, Part 2 | Stanford University | Coursera |
| CS370 | Intro to Theoretical Computer Science | Udacity | Udacity |
| CS404 | Pattern Discovery in Data Mining | University of Illinois at Urbana-Champaign | Coursera |
| CS407 | Text Mining and Analytics | University of Illinois at Urbana-Champaign | Coursera |
| CS408 | Data Visualization | University of Illinois at Urbana-Champaign | Coursera |
| CS412 | Pattern Recognition | IISc Bangalore | NPTEL |
| ECON424 | Game Theory | Stanford University | Coursera |
| MATH144 | Introduction to Dynamical Systems and Chaos | Santa Fe Institute | Santa Fe Institute |
| PHIL180 | Think Again: How to Reason and Argue | Duke University | Coursera |
| PHIL180 | Critical Thinking - Reason and Fair Play in Communication | Maastricht School of Management Romania | Iversity |
| STATS376 | Data Visualization and D3.js | Udacity | Udacity |
| STATS378 | Data Analysis and Statistical Inference | Duke University | Coursera |
| STATS378 | Core Concepts in Data Analysis | Higher School of Economics | Coursera |
| STATS378 | Foundations of Data Analysis | UTAustin | EdX |
| STATS442 | Process Mining: Data science in Action | Eindhoven University of Technology | Coursera |
