R Workshop

R is widely used across academia and industry due to its flexibility, extensive package ecosystem, and strong capabilities for handling complex datasets. This course introduces the R programming language as a powerful environment for statistical computing, data analysis, and visualization. Participants will become familiar with the core elements of the R language, including its syntax, data types, and data structures. The course covers essential workflows such as importing, exporting, and manipulating data, as well as installing and using external packages to extend R’s functionality.

A strong emphasis is placed on practical data analysis. Students will learn how to explore and summarize datasets using graphical and numerical techniques. The course also introduces fundamental statistical methods, including hypothesis testing, linear regression, and analysis of variance (ANOVA). Students will learn how to apply these techniques and interpret their results, supported by clear graphical representations.

Hands-on exercises and guided practice sessions are integrated throughout the course to reinforce learning and build confidence in applying R to real-world data problems.

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For this course, we offer the possibility to take an exam. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.