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Lynda - Github For Data Scientists

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File Name
Size
01. Introduction/01. Collaboration is the key to data science.mp4
33 MB
02. GitHub Foundations/02. What is GitHub.mp4
41 MB
02. GitHub Foundations/03. How does GitHub work.mp4
38 MB
02. GitHub Foundations/04. Common GitHub terminology.mp4
57 MB
02. GitHub Foundations/05. Using GitHub for collaboration.mp4
50 MB
02. GitHub Foundations/06. Accessing learning resources.mp4
47 MB
03. Using Repositories in GitHub/07. Creating a repository in GitHub.mp4
18 MB
03. Using Repositories in GitHub/08. Cloning a repository in GitHub.mp4
11 MB
03. Using Repositories in GitHub/09. Branching in GitHub.mp4
13 MB
03. Using Repositories in GitHub/10. Commit in GitHub.mp4
14 MB
03. Using Repositories in GitHub/11. Pull requests in GitHub.mp4
20 MB
03. Using Repositories in GitHub/12. Resolving common merge issues.mp4
25 MB
04. Creating a GitHub Portfolio/13. The value of a GitHub portfolio.mp4
62 MB
04. Creating a GitHub Portfolio/14. Creating a powerful data science portfolio.mp4
64 MB
05. Community Building/15. Finding collaborators to follow.mp4
39 MB
05. Community Building/16. Contributing to open source repositories.mp4
43 MB
06. Common GitHub Resources/17. Where to find answers.mp4
36 MB
06. Common GitHub Resources/18. Incorporating user interfaces.mp4
66 MB
07. Conclusion/19. Moving beyond the basics of GitHub.mp4
20 MB