Currently, the Data Science curriculum does not include a class using R. However, R is increasingly popular in data science research and is often listed in job postings as a requirement or preference along with Python. So, for those interested in learning a little R to supplement their Python skills (or jump right into R!) these resources are here to help.
The first step is to download R, which you can do here. It is also recommended to download RStudio, the integrated development environment (IDE) for R. Both R and RStudio are free.
We have quite a few R books available through the library. Some of these are only accessible via a physical book copy, but many are available as e-books. Try searching the library catalog UC Library Search for "R programming" to see our entire collection.
In the meantime, these books may be useful.
One of the main benefits of R is the vast array of pre-existing packages (also called libraries) written by other R users and available for installation.
All official R packages are available through CRAN (Comprehensive R Archive Network). There are a lot of R packages available; this list of recommended R packages is a good starting point.
Here are some resources for popular data science-related R packages. Also be sure to check out all of RStudio's cheatsheets.