This term fu:stat offers the course “Statistics for Big Data”. This course can stand alone and might be seen as a complement to traditional statistical courses. "Statistics for Big Data" will give a introduction into the following topics: Visualization Clustering (SOM and k-means extensions) Classification (Decision trees, Boosted trees and Random forest) Regression (Ridge ...
Instructor
Patrick Krennmair/ Akira Karimkhani
Student Profile
Students and employees of all universities
Participation Fee
60 € for students (incl. PhD),
120 € for employees,
for members of Potsdam Graduate School (20 € PhD-students, 30 € Postdocs).
Financial support of Dahlem Research School: Doctoral candidates of the Berlin University Alliance can participate cost free as long as budget lasts.
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
Marina Runge/ Nils Katzke
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 (40 € PhD-students, 60 € Postdocs).
Financial support of Dahlem Research School: Doctoral candidates of the Berlin University Alliance can participate cost free as long as budget lasts.
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, August 15, 2022 and Tuesday, August 16, 2022, 9:00 a.m. to 5:00 p.m.
