Applied Data Science with Python

[!INFO] Course Information

• Instructor: Christopher Seaman
• EA's: Marlene Lin & Nya Campbell
• Dates: April 3rd - June 4th, 2025 (10 class meetings)
• Lecture: Wednesday, 9:00 - 11:00 AM, Mission Hall 1400
• Lab: Wednesday, 11:00 - 12:30 AM, Mission Hall 1400
• GitHub: https://github.com/christopherseaman/datasci_223
• Discord: https://discord.gg/QdTYgR45er
• CLE: DATASCI 223: Applied Data Science with Python (Spring 2025)

This repository contains the course materials for UCSF DataSci 223: Applied Data Science with Python.

Topics for your consideration

1. Debugging: Rubber ducks all the way down
2. JOIN the DISTINCT with SQL
3. Polars: working with data bigger than memory
4. Data cleaning, munging, and wrangling
5. Classification: Putting a label on things
6. Neural Networks: If I only had a brain
7. Deep Learning with Transformers
8. Jobs, technical interviews, & impostor syndrome
9. Embeddings deep dive
10. Experimentation & A/B Testing
11. Time Series Analysis and Forecasting
12. Generative AI with Images
13. Data Visualization and Communication
14. Feature Engineering and Selection
15. Algorithms and complexity notation
16. Natural Language Processing (NLP)
17. Local setup with the "Modern Data Stack"
18. Deploying a basic model/app to the web
19. Computer vision: identifying and tracking
20. Distributed computing on big data
21. Ethics in Data Science