The goal of this course is to bridge the gap between model development and real-world deployment of a data analysis project. It was designed to ensure a comprehensive understanding of current Data Science tools and to teach how to keep up with the fast paced gen AI world.
Project work will be carried throughout the whole semester within the following units:
- Experimental design and problem generation
- Ethics of Data Science
- Web Scraping and APIs
- Casual Inference