Collaborate and Code: GitHub with Python and Jupyter
This course equips you with professional version control strategies essential for collaborative data science projects. Beginning with fundamental GitHub integration for Jupyter notebooks, you'll establish a solid foundation in tracking, sharing, and managing analytical code.
As you progress, you'll discover how to leverage generative AI to streamline documentation processes and implement specialized branching strategies that support data science experimentation. Through hands-on labs using the EngageMetrics project, video instruction, and interactive sessions, you'll build a comprehensive ve…
Watch on Coursera ↗
(saves to browser)
DeepCamp AI