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LinkedIn Learning

GitHub for Data Scientists

via LinkedIn Learning

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
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

Taught by

Sara Anstey and Madecraft

Reviews

4.7 rating at LinkedIn Learning based on 274 ratings

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