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PWM-WS1: Workshop Introduction to R- Dozent/in
- Dr. Alexander Herzog
- Angaben
- Seminar
Rein Präsenz
1,00 SWS, Unterrichtssprache Englisch
Zeit und Ort: n.V.
- Voraussetzungen / Organisatorisches
- Prerequisites/Voraussetzungen: BA or equivalent qualification in Political Science, no prior statistical knowledge is required but some computing knowledge is assumed and required (more details in the course description).
Registration/Deregistration/An-/Abmeldung in FlexNow: 28.09.2026 bis 25.10.2026
Assessment/Erwerb eines Leistungsnachweises: Portfolio (quizzes and problem sets)
Start: Fünf Termine
(1) Fr 23.10.2026/16-17 Uhr online via Zoom
(2) Mo 26.10.2026/16-20 Uhr in F21/03.80
(3) Fr 30.10.2026/12-16 Uhr in F21/03.80
(4) Mo 02.11.2026/16-20 Uhr in F21/03.80
(5) Fr 06.11.2026/12-16 Uhr in F21/03.80
Sprechstunde des Dozenten während des Semesters/Office hours: by individual appointment alexander.herzog(at)uni-bamberg.de.
- Inhalt
- This hands-on workshop offers a gentle yet thorough introduction to R, a freely available software package designed for statistical computing and data visualization. R is among the most popular data analysis tools in academia and industry, and it is used in several seminars across the master's curriculum. The workshop introduces participants to the fundamental features of R, using the RStudio editor and the tidyverse package collection. The goal of the workshop is to lay a foundation for more advanced applications that participants may encounter in other seminars and enable them to conduct basic statistical analyses for their own projects as part of a term paper or master thesis.
The workshop is organized around the typical steps of a data analysis project, including data importing, cleaning, transformation for statistical modeling, data visualization, and basic descriptive and inferential analysis. Participants will also learn best practices for project organization and coding style guidelines. This workshop is suitable for complete novices as well as those with experience in other statistical software packages who are interested in learning R
- Empfohlene Literatur
- Ismay, C., Kim, A. Y., & Valdivia, A. (2025). Statistical Inference via Data Science: A ModernDive into R and the Tidyverse. Second Edition. Chapman and Hall/CRC. Available at https://moderndive.com/v2/
- Englischsprachige Informationen:
- Title:
- Seminar-based module for Master students Comparative Politics: Workshop Introduction to R
- Credits: 3
- Institution: Lehrstuhl für Empirische Politikwissenschaft
Hinweis für Web-Redakteure:
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