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