Full course description
Term: Spring 2026
Date: February 17th, 2026
Time: 12:00 to 3:00 p.m.
Location: Online Only
Instructors: Nathaniel Porter & Jesse Sadler
Presented By: University Libraries (LIB)
Description:
This hands-on workshop provides an introduction to using the R programming language for reproducible data analysis and scientific computing. Learn how to work with data in R and RStudio, whether or not you have any experience with coding or data analysis.
This workshop is open to anyone who wants to work with data in R. You do not need any experience with the software to participate, but you will need access to a Windows, Mac, or Linux computer. Instructions for accessing course material and installing software will be sent in advance. The curriculum is based on episodes 1–3 of the Data Carpentry Data Analysis and Visualization with R lesson.