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our coureses in english for this term

Introduction to Statistical Learning (March 16th, 2026)
This term fu:stat offers the course “Introduction to Statistical Learning”. This course can stand alone and might be seen as a complement to traditional statistical courses. "Introduction to Statistical Learning" will give a introduction into the following topics: Visualization Clustering (SOM and k-means extensions) Classification (Decision trees, Boosted trees and Random ...
InstructorFelix Skarke, Jay Deshpande
Student Profile Students and employees of all universities
Participation Fee60 € for students (incl. PhD), 120 € for employees, members of Potsdam Graduate School please register through the PoGS website
Registration→ Register online
General information about our course offers (questions about the group of participants, registration or cancelation, about payment, organsation, certificates of participation etc.) you can find here . 
Time Monday, March 16th, 2026, 9:00 a.m. to 5:00 p.m.
Visualization in R (March 13th, 2026)
Introduction to creating meaningful graphics in R. Participants learn how to visualize data using the powerful ggplot2-package instead of base graphics. After learning the ggplot2 syntax this includes univariate and multivariate graphs as well as maps.
InstructorFelix Skarke
Student Profile Students, PhD candidates and academic staff from all universities.
Participation Fee60 € for students (incl. PhD), 120 € for employees, members of Potsdam Graduate School please register through the PoGS website,
Registration→ Register online
General information about our course offers (questions about the group of participants, registration or cancelation, about payment, organsation, certificates of participation etc.) you can find here .
Time Friday, March 13th, 2025, 9:00 a.m. to 5:00 p.m.
Python Basics for Statistics (March 9th and 10th, 2026)
Introduction to the Python environment, basic commands and data structures, data management and statistical programming (numpy, scipy, pandas), descriptive statistics, inference statistics (tests and linear regression), graphics, and applied exercises.
InstructorLukas Fink, Jay Deshpande
Student Profile Students, PhD candidates and academic staff from all universities.
Participation Fee100 € for students (incl. PhD), 200 € for employees, for members of Potsdam Graduate School: Please register through the website of the PoGS
Registration→ Register online
General information about our course offers (questions about the group of participants, registration or cancelation, about payment, organsation, certificates of participation etc.) you can find here .
Time Monday, March 9th, 2026, 9:00 a.m. to 5:00 p.m. Tuesday, March 10th, 2026, 9:00 a.m. to 5:00 p.m.
General course information