R Programming Training: An Introduction for Data Analysis and Graphics

These training series are an introduction to the program language R with the purpose of getting familiar with the commands in such a way that participants will feel self-prepared to continue on their own. It is required that participants have taken at least one Statistics course at the graduate level. See Syllabus for more information.

Training Schedule

Spring schedule: February 22nd (8:00 am) to April 15th (5:00 pm), 2022

There will not be any extension, and it is 100% online and self-paced.

R Programming Training Syllabus - Spring 2022


Click on the registration button above to register for Spring 2022. You will not receive a confirmation email after registration. The trainer will contact participants three weeks before the course starts. 

Time Commitment

The training series is self-paced. It is recommended to complete at least a module per week.


Need different dates? For consultation or to schedule an event, request training.



Who's it for?

Faculty, Staff, TA / Grad Asst


Online: self-paced

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