This workshop will introduce participants to the R statistical programming language. R is a completely free and open-source programming language and environment for statistical analysis. In this workshop, participants will learn the basics of data manipulation and data visualization in R. Workshop participants will practice what they learn via practical exercises.
All content will be presented via live demonstrations of R programming and interactive R analyses. Workshop participants will practice on-the-fly by following along with the demonstration scripts and completing in-situ practical exercises..
Participants should install both R and Rstudio (the free desktop version) on their computers before the beginning of the course.
Approximately one week before the course, participants will receive a short preparatory assignment to be completed before the workshop. This assignment will cover some basic (but important) concepts that we’ll build on during the in-person workshop session.
Kyle Lang
Professionals seeking a master-level introduction to R programming.
For an overview of all our Winter school courses offered by the Department of Methodology and Statistics please click here.
After completing this course, participants can:
Approximately 2 hours of at-home preparation and 8 hours of classroom time.
You will receive a certificate upon course completion. Please be aware that this course does not include graded activities, and therefore, we cannot provide a transcript of grades.
The tuition fee for staff off the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by FSBS.
PhD students from the Faculty of Social and Behavioural Sciences at Utrecht University have the opportunity to attend three Winter/Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Additionally, they may choose to take as many courses as they wish at their own expense from their personal budget.
Utrecht Summer School does not offer scholarships for this course.