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Introduction to Git for Data Science
This course is an introduction to version control with Git for data scientists.
- 4 hours
- 0 Videos
- 46 Exercises
- 60,309 Participants
- 3,650 XP
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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.
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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.
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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.
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Collaborating
This chapter showcases how Git allows you to share changes between repositories to collaborate at scale.
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Repositories
This chapter digs a little deeper into how Git stores information and how you can explore a repository's history.
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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.
-
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.
-
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.
What do other learners have to say?
“I've used other sites, but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyd's Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics @ USAA
Greg Wilson
Co-founder of Software Carpentry
Dr. Greg Wilson has worked for 30 years in both industry and academia, and is the author or editor of several books on computing and two for children. He is best known as the co-founder of Software Carpentry, a non-profit organization that teaches basic computing skills to researchers.
See MoreCollaborators
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Filip Schouwenaars