Full course description
Term: Spring 2026
Date: January 12th, 2026
Time: 9:00 a.m. to 4:30 p.m.
Location: University Mall 2104 (directions) & Online
Instructors: Nathaniel Porter & Jesse Sadler
Presented By: University Libraries (LIB)
Description:
This 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, analyze your data using summary statistics, and begin to make data visualizations whether or not you have any experience with coding or data analysis.
This hands-on workshop is open to anyone and based on lessons from Data Carpentry
. 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. If you have any questions before the session, please contact Jesse Sadler, jrsadler@vt.edu.
Please Note Only 20 spaces are Available in person, please answer the Canvas email you recieve after registering asking how you plan attend