The crash course "Data Science with Python and R" conveys the fundamentals of (statistical) programming and the tools used in usual programming environments. Instead of, e.g. object-oriented programming, this crash course's programming focus on reading, modifying, storing, analysing, and visualising data (tables). In four interactive seminars, each of three-hour length, and with additional material that is being provided, the participants are given a basis with which they can continue to delve into data science independently after the course.