Statistics
In the world of data, knowing which insights one can gain from a data set and which methods are particularly suitable is essential. The profile "Statistics" endows you with that knowledge. You will learn about various regression models (e.g., with penalization, transformation, binary data, non-parametric, non-linear, random forest) and analyze their significance.
You will also discover which methods are best suited for classifying (e.g., Decision Trees, SVM) or clustering (e.g., K-Means) data. Above all, your independent handling of statistical data and models will enable you to make well-founded assessments of results and interpret them competently.
For more detailed information, please refer to the German version of this page!