Universität Wien

220076 VO VO Introduction to Data Analysis (2025W)

3.00 ECTS (2.00 SWS), SPL 22 - Publizistik- und Kommunikationswissenschaft
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
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Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 17.10. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 24.10. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 31.10. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 07.11. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 14.11. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 21.11. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 28.11. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 05.12. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 12.12. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 19.12. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 09.01. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 16.01. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 23.01. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02
  • Friday 30.01. 09:45 - 11:15 Seminarraum 16, Kolingasse 14-16, OG02

Information

Aims, contents and method of the course

The main goal of the course is to introduce students to the quantitative methods for conducting meaningful inquiry in communication research and provide them with practical knowledge of available statistical software tools. The course will cover all steps of data analysis, from preparing and cleaning data to selecting analytical approaches and interpreting the results, using current software tools. Students will gain an overview of research intent and design, methodology and technique, format and presentation, and data management and analysis informed by commonly used statistical methods. At the end of this class, students will acquire the necessary conceptual and practical knowledge to collect and analyze data based on their own research questions and designs.
Attention: The courses VO Introduction to Data Analysis and UE Applied Data Analysis are linked.

Assessment and permitted materials

Written exam

Minimum requirements and assessment criteria

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Please be mindful that, due to our internal regulations, for a positive evaluation in any course within the Master's program in Communication Science, students must first be officially admitted to this study program. Therefore, students from other study programs, non-degree students or Erasmus students cannot receive a positive evaluation in these courses.

Examination topics

All contents discussed in the course and documented on Moodle.

Reading list

Llaudet, E. & Imai, K. (2023). Data Analysis for Social Science: A Friendly and Practical Introduction. Princeton University Press.
Ismay, C. & Kim, A. Y. (2020). Statistical Inference via Data Science: A Modern Dive into R and the Tidyverse. CRC Press.
More relevant literature will be announced in the syllabus.

Association in the course directory

Last modified: Tu 25.11.2025 14:26