Data Science II

This seminar provides an advanced understanding of data science with an emphasis on hands-on projects. Students will get to know latest data science technologies – from big data to advanced machine learning and apply them in a real-world project.


Programming language is python.

Course Overview

Prerequisites Data Science I
Language English
Format Seminar course (S4).
Two weeks of lectures are followed by project and meeting with the project supervisor
Material Provided through moodle.
Office Hours Dr.-Ing. Christian Debes (by email appointment)
Pertami Kunz (by email appointment)
Literature Lecture slides and tutorials from moodle.

  • Wes McKinney: Python for Data Analysis, O’Reilly, 2017
  • Christopher M. Bishop: Pattern Recognition and Machine Learning, 2011
  • James, Witten, Hastie and Tibshirani, Introduction to Statistical Learning, Springer, 2017