Introduction to R for Data Analysis

About

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. In this course, we will first introduce the basic concepts and functionalities of R. Following this, we will go through a prototypical data analysis workflow: import, wrangling, exploration, (basic) analysis, and reporting

Course leader

Dennis Abel and Franziska Quoß, GESIS - Leibniz Institute for the Social Sciences

Target group

You will find the course useful if:
- you want to use R to wrangle, explore, visualize, and analyze your quantitative data

Course aim

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

Fee info

The rates include the tuition fee, course materials, the academic program, social and plenary program, and coffee/tea breaks