KI/EPYR - Python and R for Data Science

In the course, students will practically develop basic skills in programming languages Python and R in key areas for data engineers and scientists. Students will learn various methods and techniques of data processing, analysis and visualization purely practically on model solutions, i.e. at the application and interpretation level, without the need for deeper knowledge of the principles of these methods and techniques, which should be acquired in previous or next study. A significant part of the teaching is the work of students in groups on solving case studies ("inspired by data") of a smaller scale, their presentation and mutual critical evaluation. Kaggle.com platforms are the source of data and inspiration. The materials of teaching platforms such as datacamp.com will be used in teaching, which are otherwise recommended especially for self-study and obtaining certificates.