337094a Marktforschung
| Zuletzt geändert: | 02.02.2026 / Kirenz |
| EDV-Nr: | 337094a |
| Studiengänge: |
Online-Medien-Management (Bachelor, 7 Semester) , Prüfungsleistung im Modul Marktforschung
in Semester
3
Häufigkeit: immer Social Media Marketing & Management, (Bachelor, 7 Semester, Zulassung ab Wintersemester 2024/2025), Prüfungsleistung im Modul Marktforschung in Semester 2 Häufigkeit: nur SS |
| Dozent: | Prof. Dr. Jan Kirenz, Prof. Kay Rottmann |
| Sprache: | Vorlesung deutsch, Materialien englisch |
| Art: | - |
| Umfang: | 2 SWS |
| ECTS-Punkte: | 3 |
| Workload: |
3 ECTS = 90 hours;
Written exam |
| Prüfungsform: | |
| Bemerkung zur Veranstaltung: | Gem. Senatssitzung v. 15.10.21 ab WS 21/22: Änd.d.Prüfungsform in KL, 90 Min. |
| Beschreibung: |
This course offers a comprehensive overview of data-driven decision-making techniques for business related topics. Learners will explore study design, including data collection methods and a practical guide on conducting experiments and A/B-tests, essential for strategic decision-making. The curriculum advances through data preparation and analysis, emphasizing competitive market analysis and the transformation of raw data into actionable insights. The course delves into analytical models, covering classification, regression, and cluster analysis.
By the end of this module, students are able to: - Effectively plan and execute market research projects - Conduct experiments and A/B tests - Use predictive models and clustering methods - Utilize modern tools and technologies for data analysis - Clearly and effectively communicate results |
| English Title: | Market research |
| English Abstract: | This course offers a comprehensive overview of data-driven decision-making techniques for business related topics. Learners will explore study design, including data collection methods and a practical guide on conducting experiments and A/B-tests, essential for strategic decision-making. The curriculum advances through data preparation and analysis, emphasizing competitive market analysis and the transformation of raw data into actionable insights. The course delves into analytical models, covering classification, regression, and cluster analysis. |
| Literatur: |
Çetinkaya-Rundel, M. & Hardin, J (2024). Introduction to Modern Statistics (2 e.). OpenIntro. Inc. Weitere Literatur finden Sie in der HdM-Bibliothek. |