In close cooperation with the Teaching Unit for Computational Statistics and Mathematics, the Chair of Statistics and Data Analytics offers a wide range of courses in the fields of statistics and econometrics. In addition to basic methods of descriptive and inferential statistics, the main focus is on multivariate estimation and testing – especially in the context of regression analysis.

The core competence relevant for research and practice lies in the fact that methodological understanding is closely interlinked with the corresponding skills for the computer-aided implementation of statistical methods. Students are enabled to implement and interpret statistical procedures empirically and to evaluate corresponding analyses.