Git for Data Science Projects

The course will provide an introduction to data consultancy, including the essential skills and tools required to succeed in this field.




Hours per week


Live Sessions

Aug 28, 2023

Next Date


The objective of this course is to introduce data scientists to Git, a version control system that allows for efficient collaboration and management of code and data. By the end of this course, students will be able to use Git to manage their data science projects, collaborate with others, and maintain a well-organized and reproducible workflow.


• Basic understanding of the command line

• Familiarity with a text editor such as VS Code or Sublime Text

• Access to a computer with an internet connection

• Prior experience with data analysis is recommended, but not required


Introduction to Git

This topic will cover the basics of Git, including how to install Git, create a Git repository, and use basic Git commands such as add, commit, and push.

Git Branching

In this lesson, we will explore branching in Git and how it enables parallel development and isolation of code changes.

Distributed Git

In this lesson, we will explore the concept of distributed Git and how it differs from centralized version control systems.


Sebastian Vazquez

Sebastian Vazquez

Current CTO of JA-VAZ, he teaches programs such as Git for Data projects.

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