R for Data Analytics

Thursday, October 3, 2019
2:30 pm–4 pm
Alexander Library

Contact:

Ryan Womack

The session introduces the R statistical software environment and basic methods of data analysis, and also introduces the "tidyverse." While R is much more than the "tidyverse," the development of the "tidyverse" set of packages, led by RStudio, has provided a powerful and connected toolkit to get started with using R. Note that graphics and data manipulation are covered in subsequent sessions.

This session will be held in Alexander Library, Room 415 from 2:50 to 4:10.

These workshops are open to all without registration.

Bring your own laptop to these sessions to get the most out of them!  

Alexander Library