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Course

Introduction to R

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 fundamentals of programmatic data analysis in R. We will focus on data manipulation and data visualization, rather than any specific type of statistical modeling or testing. Workshop participants will practice what they learn via practical exercises.

€225

Specifications

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Master
0.5 ECTS
Utrecht, The Netherlands

Description

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. If the schedule permits, the participants are also welcome to ask the instructor for advice on how to incorporate R into their own data analyses.

Participants should install both R and RStudio (the free desktop version) on their computers before the beginning of the course.

  • R can be downloaded here.
  • RStudio can be downloaded here

No prior experience with R or programming are required.

Day to Day Documents

day_program_s002_2026.pdf

Lecturers

Kyle Lang

Target audience

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.

Aim of the course

After completing this course, participants will be able to:

  • Describe common R data types and discuss their strengths and weaknesses
  • Set up a reproducible, R-based data analysis project.
  • Write simple R scripts to do the following tasks:
    - Read external data into R and write out data/results
    - Calculate summary statistics
    - Programmatically manipulate data objects
    - Generate simple graphical visualizations of data/models

     

Study load

Approximately 4 hours of preparation before the workshop 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.

Costs

  • Course fee: €225.00
  • Included: Course + course materials + lunch

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.

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