Schedule
The course spans a total of five days, where each day is split into morning and afternoon blocks. All blocks will mix lecture, demonstration, and exercises, except the last afternoon block that is dedicated to the take-home exam.
Morning: 09:00-12:00 / Afternoon: 13:00-16:00
| Day / Block | Topic |
|---|---|
| Monday | Python Basics python |
| Morning | Introduction to programming, Python, and VSCode |
| Afternoon | The building blocks making up the Python programming language |
| Tuesday | Working with Data polars |
| Morning | Import and manipulate data with Polars |
| Afternoon | Describe, join, group, and aggregate data |
| Wednesday | Data Visualization matplotlib |
| Morning | Visualize your data to better understand it |
| Afternoon | Make beautiful figures for you publications |
| Thursday | Data Modelling and Analysis scipy statsmodels lifelines sklearn |
| Morning | Model your data using linear, logistic, and cox regression |
| Afternoon | Try out prediction modelling using machine learning techniques |
| Friday | Questions and Complementary Tools git just quarto |
| Morning | Ask any questions not yet addressed during the course and learn about complementary tools that can enhance your workflow |
| Afternoon |