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Introduction to Git

via Datacamp

Overview

This course is an introduction to version control with Git for data scientists.

Version control is one of the power tools of programming. It allows you to keep track of what you did when, undo any changes you decide you don't want, and collaborate at scale with other people. This course will introduce you to Git, a modern version control tool that is very popular with data scientists and software developers, and show you how to use it to get more done in less time and with less pain.

Syllabus

Basic workflow
-This chapter explains what version control is and why you should use it, and introduces the most common steps in a common Git workflow.

Repositories
-This chapter digs a little deeper into how Git stores information and how you can explore a repository's history.

Undo
-Since Git saves all the changes you've made to your files, you can use it to undo those changes. This chapter shows you several ways to do that.

Working with branches
-Branching is one of Git's most powerful features, since it allows you to work on several things at once. This chapter shows you how to create and manage branches.

Collaborating
-This chapter showcases how Git allows you to share changes between repositories to collaborate at scale.

Taught by

Greg Wilson

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