Data Science: Foundations, Tools, Applications in Socio-Economics and Marketing
Data Science: Foundations, Tools, Applications in Socio-Economics and Marketing
Content
The lecture “Data Science: Foundations, Tools, Applications in Socio-Economics and Marketing” provides an overview of foundations, tools, and applications of data science in the areas of socio-economics and marketing. Different types of data sources and general strategies of how to analyze them will be discussed and applied. Furthermore, exemplary studies applying those kinds of data and analysis strategies will be discussed for a variety of topics in the lecture.
The students will
- gain an overview of the foundations and tools of data science
- broaden their understanding of the potentials and pitfalls of these tools
- advance their critical thinking about empirical evidence
- learn to connect theoretical considerations and empirical analyses
- apply the tools to specific research questions
The lecture is jointly organized with Prof. Dr. Tobias Wolbring.
Information
- Recurrence: each winter term
- With lab session
- Language: English
- Lecturers: Prof. Tobias Wolbring and Prof. Malte Reichelt
- See StudOn for time and place
- 5 ECTS