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The course introduces the analysis of social media data with a particular focus on social networking analysis. Students learn how to use the R programming language to collect, process, and analyze digital trace data in the course. The course focuses on practical examples that can also be used in data-driven journalism or business analytics. The course starts with a general introduction to R. In the second block, students learn to read data, perform statistical procedures, and visualize results in high-quality plots. In the third block, students learn how to collect data from Twitter automatically via R. Students are specially prepared for the challenging work with texts (for example, regular expression). In the fourth block, the students plan their own projects. At the end of the course, some state-of-the-art methods are presented in the form of an outlook.