Data science has experienced significant growth, with organizations increasingly using data as a strategic asset to derive meaningful insights, often through machine learning and personalized software experiences. R and Python are widely used programming languages in data science for their ability to clean and explore data, while Git and GitHub are essential tools for tracking changes and enhancing collaboration. GitHub repositories facilitate project organization, integration with editors, task management, and code quality through automated builds and tests. They also enable collaboration with product developers and sharing of findings. The data science webcast series will delve into the applications of Git and GitHub in data science workflows, featuring sessions on best practices, a conversation with Pirelli, and insights from the GitHub data science team, as narrated by Bas Peters.