Applied Data Science
This course is regularly offered during the summer term.
Applied Data Science (22 154)
Prof. Dr. Daniel Rösch
Wednesday 12 - 14 / VG 0.15
Start: 23.04.2025
Tutorial Applied Data Science (22 155)
Instructor: Alicia Billand
Thursday 18 - 20 / H4
Start: 24.04.2025
Topics of course:
- Estimation theory
- Statistical modeling and applied regression analysis
- Introduction to Data Science (supervised and unsupervised learning)
Results of previous semesters
| Semester | Average course grade |
|---|---|
| SoSe 2021 | 1,85 |
| SoSe 2022 | 2,25 |
| SoSe 2023 | 1,30 |
Detailed course description: here
Rainer Jobst - 03.04.2025 09:36 
- Faculty of Business, Economics and Management Information Systems
- Department of Business Administration
Chair of Statistics and Risk Management
Prof. Dr. Daniel Rösch
