What is the relation between water scarcity and violent conflict? Did the Black Lives Matter protests shift public opinion on issues such as the police or racism? How likely are rural voters to cast a vote for far-right parties? To answer such questions, political scientists analyze large data samples with statistical methods. One tool to conduct data analyses is the programming language R: an open-source software and a powerful tool for data analysis, visualization, and statistical computing. You will learn how to get started in R and clean, visualize, and statistically analyze different kinds of data that are relevant to political science. Additionally, we will replicate studies that have been published in high-quality journals You do not need to have any prior knowledge about programming or R. Basic knowledge about statistics is helpful, though. Every week, we will work through an R-script together. Weekly assignments provide you the opportunity to apply what you have learned and test your progress. By the end, you will be equipped with the basics of R to conduct your own analyses of political science data in your empirical seminar papers or theses.