Skip to the content.

Lectures and Class Material


  1. 🔬 Introduction to reproducibility 🔁
  2. 🐧 Terminal and bash 🐧
  3. 🐙 Git and GitHub 🌿
  4. 🐍 Introduction to Python 🐍
  5. 🔢 Python Data Wrangling 🐼
  6. 🤖 LLMs for Coding 💻
  7. 🧠 Advanced LLMs 🤖
  8. 🤖 Machine Learning 1: Supervised Learning 🎯
  9. 🔍 Machine Learning 2: Unsupervised learning ⚖️
  10. 💥 Classical statistics pitfalls and remedies 💊
  11. 🐋 Containers 🐋
  12. 📊 Introduction to data visualization in Python 📈
  13. Extras