| Level | Course Title | University | Provider |
|---|---|---|---|
| CS295 | Algorithms: Design and Analysis, Part 1 | Stanford University | Coursera |
| CS351 | Web Intelligence and Big Data | Indian Institute of Technology Delhi | Coursera |
| CS380 | Introduction to Data Science | University of Washington | Coursera |
| CS381 | Big Data Analysis with Apache Spark | University of California, Berkeley | EdX |
| CS404 | Pattern Discovery in Data Mining | University of Illinois at Urbana-Champaign | Coursera |
| CS405 | Text Retrieval and Search Engines | University of Illinois at Urbana-Champaign | Coursera |
| CS406 | Cluster Analysis 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 |
| CS413 | Mining Massive Datasets | Stanford University | Coursera |
| MRKT372 | Big Data for Better Performance | Open2Study | Open2Study |
| NER S260 | Exploring Neural Data | Brown University | Coursera |
| STATS80 | Big Data and Social Physics | MIT | EdX |
| STATS280 | Intro to Hadoop and MapReduce | Udacity | Udacity |
| STATS304 | Intro to Data Science | Udacity | Udacity |
| STATS304 | The Data Scientist’s Toolbox | Johns Hopkins University | Coursera |
| STATS378 | Foundations of Data Analysis | UTAustin | EdX |
| STATS378 | Core Concepts in Data Analysis | Higher School of Economics | Coursera |
| STATS378 | Data Analysis and Statistical Inference | Duke University | Coursera |
| STATS405 | Practical Machine Learning | Johns Hopkins University | Coursera |
| STATS418 | Big Data Analytics for Healthcare | Georgia Institute of Technology | Coursera |
| STATS430 | The Caltech-JPL Summer School on Big Data Analytics | Caltech | Coursera |
| STATS442 | Process Mining: Data science in Action | Eindhoven University of Technology | Coursera |
