Courses Using R

R is free open source software that has come to dominate the statistical programming environment, along with Python.  It originated as an open-source alternative to the commercial package S-PLUS, which, in turn was derived from S.  Between R and Python, R has a richer set of statistical and machine learning modeling packages and is often preferred for the development and prototyping of models, while Python is often preferred for its data handling and performance capabilities.

Most courses last 4 weeks and consist of readings, supplemental materials, exercises, and a private discussion forum with fellow students and the instructor. Readings and homework are released on a week-by-week basis, and during each week there are no particular times when you must be online. At the end of each week, you submit your homework (you'll get marks and individual feedback in a few days).

Courses in R fall into the following categories:


I. Using R as a statistical package


II. Learning how to program in R - for those new to programming


III. Building R programming skills - for those familiar with R, or experienced with other programming languages or statistical computing environments


IV. Applying R to specific domains or applications

 

Thanks to Gregory Piatetsky-Shapiro at KDNuggets for his annual software poll.  We also offer courses using Python.

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