| Level | Course Title | University | Provider |
|---|---|---|---|
| CS101 | Programming for Everybody (Python) | University of Michigan | Coursera |
| CS380 | Introduction to Data Science | University of Washington | Coursera |
| CS382 | Data Science Essentials | Microsoft | EdX |
| CS455 | Introduction to Computer Networks | University of Washington | Coursera |
| CS465 | Linear and Integer Programming | University of Colorado Boulder | Coursera |
| CS485 | Machine Learning | University of Washington | Coursera |
| ECON311 | Econometrics | Saylor | Saylor |
| ECON370 | Introduction to Neuroeconomics: how the brain makes decisions | Higher School of Economics | Coursera |
| ECON440 | Model Thinking | University of Michigan | Coursera |
| MATH401 | A Basic Course in Real Analysis | IIT Kharagpur | NPTEL |
| MATH401 | Real Analysis I | Saylor | Saylor |
| STATS80 | Big Data and Social Physics | MIT | EdX |
| STATS212 | Statistics II | Saylor | Saylor |
| STATS273 | Explore Statistics with R | Karolinska Institutet | EdX |
| STATS304 | Intro to Data Science | Udacity | Udacity |
| STATS305 | R Programming | Johns Hopkins University | Coursera |
| STATS310 | Regression Models | Johns Hopkins University | Coursera |
| STATS360 | Probability | University of Pennsylvania | Coursera |
| STATS378 | Core Concepts in Data Analysis | Higher School of Economics | Coursera |
