skip to content

Data Science (CM)

Infomation about CM Data Science

Module Content

  • Managing large data sets
  • Visualisation methods
  • Data pre-processing/feature engineering
  • Introduction to statistical learning
  • Model evaluation and model explainability


Learning Objektives

Students ...

  • know and understand common methods in Data Science and Econometrics.
  • use methods in pre-structured contexts in a solution-oriented way in Data Science and Econometrics.
  • communicate continuously and purposefully within teaching and learning groups.
  • develop an understanding of the impact of decisions that take into account environmental, economic, social or ethical criteria.
  • design their learning and working processes independently.
  • reflect their own performance and implement feedback constructively.