Introduction to Git
This course is an introduction to version control with Git for data scientists.
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Course Description
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.
- 1
Basic workflow
FreeThis chapter explains what version control is and why you should use it, and introduces the most common steps in a common Git workflow. - 2
Repositories
This chapter digs a little deeper into how Git stores information and how you can explore a repository's history. - 3
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. - 4
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. - 5
Collaborating
This chapter showcases how Git allows you to share changes between repositories to collaborate at scale.
Collaborators
Filip Schouwenaars
DataCamp Content Creator
Course Instructor
DataCamp offers interactive R, Python, Spreadsheets, SQL and shell courses. All on topics in data science, statistics, and machine learning. Learn from a team of expert teachers in the comfort of your browser with video lessons and fun coding challenges and projects.
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Harvard Business School
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Ronald Bowers
Decision Science Analytics, USAA
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