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 ...
Instructor
Felix Skarke
Student Profile
Students and employees of all universities
Participation Fee
60 € for students (incl. PhD),
120 € for employees,
for members of Potsdam Graduate School, the HNEE and the Graduate Centre Life Sciences Humboldt university, please register through the website of the respective program
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 .
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.
Instructor
Lukas Fink
Student Profile
Students, PhD candidates and academic staff from all universities.
Participation Fee
100 € for students (incl. PhD),
200 € for employees,
for members of Potsdam Graduate School, the HNEE and the Graduate Centre Life Sciences Humboldt university, please register through the website of the respective program
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
Tuesday, March 9th, 2027, 9:00 a.m. to 5:00 p.m. Wednesday, March 10th, 2027, 9:00 a.m. to 5:00 p.m.