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Foto: Matthias Friel

Intro to R for Social Scientists - Einzelansicht

Veranstaltungsart Seminar Veranstaltungsnummer 424811
SWS 2 Semester SoSe 2022
Einrichtung Sozialwissenschaften   Sprache englisch
Belegungsfristen 01.04.2022 - 10.05.2022

Belegung über PULS
01.04.2022 - 10.05.2022

Belegung über PULS
Gruppe 1:
     jetzt belegen / abmelden
    Tag Zeit Rhythmus Dauer Raum Lehrperson fällt aus am Max. Teilnehmer/-innen
Einzeltermine ausblenden
Seminar Mi 10:00 bis 12:00 wöchentlich 20.04.2022 bis 27.07.2022  3.01.1.65a Prof. Dr. Tjaden  
Einzeltermine:
  • 20.04.2022
  • 27.04.2022
  • 04.05.2022
  • 11.05.2022
  • 18.05.2022
  • 25.05.2022
  • 01.06.2022
  • 08.06.2022
  • 15.06.2022
  • 22.06.2022
  • 29.06.2022
  • 06.07.2022
  • 13.07.2022
  • 20.07.2022
  • 27.07.2022
Kommentar

Data is becoming ever more important for students and researchers in the social sciences across different sub-disciplines including economics, business, political science, and sociology. Data skills are also in high demand on the job market including in fields as diverse as data science & programming, business intelligence, data journalism, public administration, international organizations, market research, and monitoring & evaluation.

 

This course is a hands-on, practical introduction to the R programming language for students of the social sciences. R is one of the fastest growing, most popular and extremely versatile statistics packages and programming languages in the world. It is free and has a large community that helps to improve it continuously. The course focusses on basic concepts in (descriptive) data analysis, management, visualization and reporting. Students will learn how to produce their own interactive data report and understand basic concepts in social data science. The course teaches the basics required for further delving into data science. The course will help students to make a decision whether to pursue more advanced quantitative courses in the future (or not).

 

Prior knowledge in statistics and data analysis is not required. The course is designed to show students that working with data is less scary than often perceived. It is aimed at beginners and those students curious to acquire a new skill.

 

 

Check out the course online: Intro to R for Social Scientists (jaspertjaden.github.io)

Check out intro video describing who this course is for: https://youtu.be/-rRQ6PZDqGg  

 

Literatur

Fogarty, B. J. (2018). Quantitative social science data with R: an introduction. SAGE Publications Limited.

 

Imai, K. (2018). Quantitative social science: An introduction. Princeton University Press.

 

Aydin, B., Algina, J., Leite, W. L., & Atilgan, H. (2018). An R Companion: A Compact Introduction for Social Scientists. Ankara: ANI Publishing. https://bookdown.org/burak2358/SARP-EN/

 

Wickham, H. & Grolemund, G. (2020). R for Data Science. https://r4ds.had.co.nz/

 

Huynh, Y.W. (2019). R for graduate students. https://bookdown.org/yih_huynh/Guide-to-R-Book/

 

Ansell, B. (2020). Introduction to R – tidyverse. https://bookdown.org/ansellbr/WEHI_tidyR_course_book/

 


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester SoSe 2022 , Aktuelles Semester: WiSe 2022/23