The R workshop series will introduce users 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 three workshops. For individuals who are new to R, coding, or data analysis, it is highly recommended that the workshops be attended in sequential order. Additionally, 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.
- Introduction to Tidyverse packages (emphasis on dplyr)
- Transforming and generating variables
- Handling data with missing values
- “Piping” data and data processes
Required Materials: For users wishing to follow along with the “hands-on” portion of the workshop, you will need to download and install two things (100% free):
For all other users, everyone is welcome to watch the workshop presentation and participate in the chat without installing any software.
NOTE: Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.
Presenter: Muhammet Emre Coskun, PhD Candidate in Public Management and Policy, and Graduate Research Assistant with the Library's Research Data Services Team.
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.