GitHub for Data Scientists
With Sara Anstey and Madecraft
Liked by 2,121 users
Duration: 44m
Skill level: Intermediate
Released: 12/1/2020
Course details
Version control is rapidly becoming an essential skill for data scientists. In this course, learn how to get the most out of GitHub, not just as a code repository, but also as a resource for finding software and connecting with an engaged community. Review foundational GitHub concepts, from how GitHub actually works, to key terminology, to how GitHub facilitates collaboration for data science projects. Learn how to effectively use repositories in GitHub, including how to create and clone a repository and resolve common merge issues. Plus, learn how to create a strong data science portfolio with GitHub, contribute to open-source repositories, and more.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructors
Learner reviews
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Leakey Mokaya
Leakey Mokaya
Versatile Data Professional: Bridging Data Analysis, Data Science, and Business Insights for Data-Driven Decision Making
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Contents
What’s included
- Learn on the go Access on tablet and phone
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