The R workshop series will introduce participants to the fundamentals of using the R programming language and associated tools for the purposes of performing common data analysis tasks. The R programming language is 100% free to use and is extremely popular amongst researchers in both academia, business, and non-profits. It is especially useful for conducting statistical analysis.
This series consists of four workshops. Individuals are encouraged to attend (or watch the recording) for the “R 1: Getting Started…” workshop first; especially for individuals who are brand new to using R. The content for the remaining workshops are independent of each other and can be attended in any order.
While these workshops are taught exclusively using code (i.e. there are no point-and-click methods), attendees do not need to have any prior experience with programming, coding, or scripting. All are welcome.
- Basic analysis, descriptive statistics, t-tests
- Creating linear models (multiple linear regression & logistic regression)
- Evaluating linear models and generating predictions
- Creating simple machine learning models (Time permitting)
Set Up and Software Requirements: For participants wishing to follow along with the “hands-on” portion of the workshop, please see the directions at the following url: https://research.library.gsu.edu/R/workshop.
NOTE: Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.
We update the schedule throughout the semester, so check back to see if we have a session that works for you. You can also let us know what you are looking for by filling out our survey here. We also encourage you to check out online video training available for FREE to the university community – Linkedin Learning.
Faculty and Staff members can request custom technology workshops for departments or student groups of 4 or more. For information on submitting a request, please see our page here. You can also find information on web, video or image-based projects on our Assign Media page.