GitHub for Data Scientists
Duration: 44m 15s | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 698 MB
Genre: eLearning | Language: English

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.

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