GitHub for Data Scientists

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Free Online Course: GitHub for Data Scientists provided by LinkedIn Learning is a comprehensive online course, which lasts for Less than 1 hour of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. GitHub for Data Scientists is taught by Sara Anstey and Madecraft.

Overview
  • 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.

Syllabus
  • Introduction

    • Collaboration is the key to data science
    1. GitHub Foundations
    • What is GitHub?
    • How does GitHub work?
    • Common GitHub terminology
    • Using GitHub for collaboration
    • Accessing learning resources
    2. Using Repositories in GitHub
    • Creating a repository in GitHub
    • Cloning a repository in GitHub
    • Branching in GitHub
    • Commit in GitHub
    • Pull requests in GitHub
    • Resolving common merge issues
    3. Creating a GitHub Portfolio
    • The value of a GitHub portfolio
    • Creating a powerful data science portfolio
    4. Community Building
    • Finding collaborators to follow
    • Contributing to open source repositories
    5. Common GitHub Resources
    • Where to find answers
    • Incorporating user interfaces
    Conclusion
    • Moving beyond the basics of GitHub