Cologne, Germany

Introduction to R for Data Analysis

when 24 July 2024 - 25 July 2024
language English
duration 1 week
fee EUR 220

The open-source software package R is free of charge and offers a variety of standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After introducing the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.

Course leader

Jan Schwalbach is a postdoctoral researcher in the team Archiving at in the department Data Services for the Social Sciences at GESIS Leibniz Institute for the Social Sciences.
Dennis Abel is a member of the team “Survey Data Augmentation” at GESIS.

Target group

You will find the course useful if you want to use R to wrangle, explore, visualize and analyse your data.

- Prior experience with data analysis, basic statistics, and regression is needed
- Experience with using other statistical packages (e.g., SPSS or Stata) is helpful, but not a requirement.

Course aim

By the end of the course, you will be:
- comfortable with using R and RStudio,
- able to import, wrangle, and explore your data with R,
- able to conduct basic visualizations and analyses of your data with R.

Credits info

- Certificate of attendance issued upon completion.

Fee info

EUR 220: Student/PhD student rate.
EUR 330: Academic/non-profit rate.
The rates include the tuition fee, course materials, the academic program, and coffee/tea breaks.