Statistical Programming with Python
News π’
The grades have been uploaded. Please schedule an appointment if you would like to review your results.
The exam has been uploaded. We wish you all the best with your term paper. Please read the instructions carefully and donβt hesitate to ask questions if anything is unclear. The submission deadline is June 8, 2026, 23:59 (German time).
Beginning of Lectures: The lectures are beginning at 09:00 am sharp (except Fri, May 08 which starts at 16:00). Please be on time.
Locations for Tutorials: Tutorials for Group 1 (13:00β16:00) will take place in WiWi 3136/3142. Group 2 (13:00β16:00) will be held online. Tutorials for Groups 3 & 4 (16:00β19:00) will take place in WiWi 3136/3142.
Zoom Link for Tutorial Group 2: Zoom Link
Team π·
Prerequisites/references π
In-depth knowledge of statistics is required (prior knowledge of machine learning methods is advantageous). Some programming experience (e.g. in R) is helpful. Attendance is compulsory and will be checked before each lecture and exercise.
Content/learning objective π
The aim of the course is to acquire skills in the analysis of data using modern statistical methods. Topics include hypothesis testing, regression methods (quantile regression, ridge, β¦) and classification methods (SVMs, decision trees, β¦).
The course consists of a lecture part (in the morning) and an exercise part (in the afternoon). In the lecture, an introduction to Python is given and statistical methods for data analysis are presented. In the exercises, theoretical and practical tasks on the statistical methods from the lecture are worked on using Python.
Schedule π
| Day / Date | Time | Type | Room |
|---|---|---|---|
| Fri, May 08 | 16:00 β 20:00 | Lecture | WiWi B1, VMP5 |
| Mon, May 11 | 09:00 β 13:00 | Lecture | WiWi B1, VMP5 |
| 13:00 β 16:00 | Tutorial (Grp 1) | WiWi 3136/3142 | |
| 13:00 β 16:00 | Tutorial (Grp 2) | Online | |
| 16:00 β 19:00 | Tutorial (Grp 3 & 4) | WiWi 3136/3142 | |
| Tue, May 12 | 09:00 β 13:00 | Lecture | WiWi B1, VMP5 |
| 13:00 β 16:00 | Tutorial (Grp 1) | WiWi 3136/3142 | |
| 13:00 β 16:00 | Tutorial (Grp 2) | Online | |
| 16:00 β 19:00 | Tutorial (Grp 3 & 4) | WiWi 3136/3142 | |
| Wed, May 13 | 09:00 β 13:00 | Lecture | WiWi B1, VMP5 |
| 13:00 β 16:00 | Tutorial (Grp 1) | WiWi 3136/3142 | |
| 13:00 β 16:00 | Tutorial (Grp 2) | Online | |
| 16:00 β 19:00 | Tutorial (Grp 3 & 4) | WiWi 3136/3142 | |
| Fri, May 15 | 09:00 β 13:00 | Lecture | WiWi B1, VMP5 |
| 13:00 β 16:00 | Tutorial (Grp 1) | WiWi 3136/3142 | |
| 13:00 β 16:00 | Tutorial (Grp 2) | Online | |
| 16:00 β 19:00 | Tutorial (Grp 3 & 4) | WiWi 3136/3142 |
Print Lectures to PDF π¨οΈ
- Reveal.js presentations can be exported to PDF!
π‘ Note: This feature has been confirmed to work in Google Chrome, Chromium as well as in Firefox.
To Print to PDF, do the following π:
- Toggle into Print View using the
Ekey (or via the Navigation Menu)
- Open the in-browser print dialog:
Ctrl+P
- Change Destination to Save as PDF
- Change Layout to Landscape
- Change Margins to None
- Enable Background graphics
- Click Save π
Examination π©
The examination consists a term paper, which includes a programming and a comprehension or theory part.