RSS03.08 Getting started with R: An introduction to data analysis

Course is confirmed!

In this “hands-on” interactive course participants are introduced to data analytics using the statistical program R. The interactive teaching and learning environment will help all participants to maximize their individual learning outcomes. The aim is to provide an accessible high-quality course for everyone (no prior knowledge of R required).

In this course, we will cover the following key topics:

  • Installing R and R studio,
  • importing data from various file formats (e.g., csv, text files, Stata),
  • cleaning and merging data,
  • visualising and reporting data,
  • and basic regressions.

All these topics are accompanied by various practical examples, engaging exercises, and interesting discussions. At the end of this course, all participants will be able to work independently with R and perform basic data analysis on their own. Successful completion of this course could be the next step in your professional career, preparation for further studies, or a new exciting chapter in your life.


3 July 2023 - 7 July 2023
Course Fee

Regular: €480

Early Bird: €432 (application deadline* April 1st)

Scholarships and discounts Find more information here
Application deadline

May 15th

*Your application is only completed when the course fee has been paid

Course leader Thomas Niederkofler
Level of participant
  • 1st Year Bachelor
  • Advanced Bachelor
  • Master
  • PhD
  • Postdoc
  • Professional
  • Anyone interested in quantitative data analytics with a high school diploma (or at least a minimum understanding of Statistics and English)
Admission requirements No prior experience in programming is necessary. However, participants need to bring their own laptop (no computers or laptops will be provided). An intermediate understanding of English and a beginner knowledge of statistics are strongly recommended.
Admission documents

Motivation letter:  ​A few sentences (maximum half a page) with the participant’s own main objectives and goals they want to achieve during this course​.

Mode of Study On Campus
Location Radboud University