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Introduction to R for Data Science

MGT001367Elective Modules6 ECTSEnglishsummer semesterLehrstuhl für Behavioral Research Methods (Prof. Pachur)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn the fundamentals of the R programming language for data preparation, analysis and visualization. In the end you will master the basic functions and important packages (e.g. tidyverse) and be able to independently import, format, analyze and visualize data.

What you will be able to do

  • Apply basic functions of R
  • Import and format data in R
  • Analyze data
  • Visualize data
  • Use initial packages (e.g. tidyverse)

What the module consists of

  • Seminar/ÜbungWeekly introduction and practical exercises on new R functions; application to tasks

Teaching method

  • Interaktive Seminar-SessionsIntroduction and discussion of new functions
  • Kurzvorträge durch StudierendeRecapitulation and reflection of key learning outcomes
  • ÜbungenApplication of the learned methods to new problems
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Official page in TUMonline · Details are not binding.