Elements of Collaborative Data Science

This lecture covers the fundamental concepts of collaborative data science, including tools like Jupyter notebooks, Docker, and Git. It also delves into data versioning, containerization with Docker, and common commands in Git. The lecture emphasizes the importance of code and data versioning, as well as the use of containerization for application isolation and portability.