MS in Computer Science

Data Science

In order to get a Master Degree from World University, you must successfully complete 10 courses.

You can select them one by one, one after another or you may want to take breaks between courses.

To register for a course you wish to take:

1. Find the course on the list below.

2. Click on the University name.

3. A list of courses provided by that university will appear.

4. Find the course you wish to register in that list.

5. Click on the name of the course.

6. Follow the instructions to register the course.

7. After registration to the course go to "Operations", and inform us by "submit courses" button.

8. When you complete the course and get your certificate from the university go to "Operations" and inform us by "submit certificates" button.

The Best of the Best 40 courses for MS in Computer Science - Data Science

(Available worldwide by top universities)

  1. Data Visualization and Communication with Tab  - Duke University

  2. Data Science Math Skills - Duke University

  3. Statistical Inference - Johns Hopkins University

  4. Data Scientist`s Toolbox - Johns Hopkins University

  5. Regression Models - Johns Hopkins University

  6. Developing Data Products - Johns Hopkins University

  7. R Programming - Johns Hopkins University

  8. Getting and Cleaning Data - Johns Hopkins University

  9. Advanced Linear Models for Data Science II - Johns Hopkins University

  10. Exploratory Data Analysis - Johns Hopkins University

  11. Reproducible Research - Johns Hopkins University

  12. Building Data Visualization Tools - Johns Hopkins University

  13. Managing Data Analysis - Johns Hopkins University

  14. Data Science in Real Life - Johns Hopkins University

  15. Building a Data Science Team - Johns Hopkins University

  16. Advanced R Programming - Johns Hopkins University

  17. A Crash Course in Data Science - Johns Hopkins University

  18. R Programming Environment - Johns Hopkins University

  19. Buildings and Packages - Johns Hopkins University

  20. Data Processing Using Python - Nanjing University

  21. Basic Data Descriptors - Rice University

  22. Fundamentals of Visualization with Tableau - University of California, Davis

  23. Graph Analytics for Big Data - University of California, Davis

  24. Big Data Modeling and Management Systems - University of California, San Diego

  25. Hadoop Platform and Application Framework - University of California, San Diego

  26. Essential Design Principles for Tableau - University of California, San Diego

  27. Big Data Integration and Processing - University of California, San Diego

  28. Introduction to Big Data - University of California, San Diego

  29. Global Warming II - University of Chicago

  30. Data Visualization - University of Illinois, Urbana

  31. Pattern Discovery in Data Mining - University of Illinois, Urbana

  32. Cluster Analysis in Data Mining - University of Illinois, Urbana

  33. Text Mining and Analytics - University of Illinois, Urbana

  34. Introduction to Data Science in Python - University of Michigan

  35. Research Data Management and Sharing - University of North Carolina

  36. Introduction to Spreadsheets and Models - University of Pennsylvania

  37. Data Manipulation at Scale - University of Washington

  38. Communicating Data Science Results - University of Washington

  39. Data Management and Visualization - Wesleyan University

  40. Data Analysis Tools - Wesleyan University

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