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Applied Data Science

This course is regularly offered during the summer term.


Applied Data Science (22 154)

Prof. Dr. Daniel Rösch

Wednesday 12 - 14

Start:


Tutorial Applied Data Science (22 155)

Instructor: Matthias Nagl

Thursday 16 - 18

Start:


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
  1. Faculty of Business, Economics and Management Information Systems
  2. Department of Business Administration

Chair of Statistics and Risk Management

Research Assistant

Matthias Nagl


Room RW(S) 213

Phone +49 941 943-2438
Fax +49 941 943-4936
E-Mail
Office hours: by arrangement