The Version Control with Git course provides you with a solid, hands-on foundation for understanding the Git version control system. Git is open source software originally created by Linus Torvalds. Git manages team files for large and small projects. This allows the team to continuously improve its product. It is used by most major technology companies, and is assumed knowledge for many modern programming and IT jobs. It is a core component of DevOps, continuous delivery pipelines and cloud-native computing. You could also use Git to manage the many continuously improving revisions of that book that you are writing. In this course, you will not learn everything there is to know about Git, but you will build a strong conceptual understanding of the technology, and afterward will be able to confidently dig deeper on any topic that interests you. This course assumes no previous knowledge of Git, but if you do have experience with it, you may find this course to be both useful and challenging. This is especially true if you currently "know just enough Git to be dangerous". There are two paths in this course. Both rely heavily on hands-on labs. One path assumes that you have experience using a command line interface, and the other path uses the Sourcetree graphical client. If you are not experienced with a command line, we highly suggest that you go through the Sourcetree path. Eventually, you might want to go through both paths, so that you can decide which tool to use for specific tasks. Besides, repetition is good for learning :) You can watch the videos and take the quizzes from your phone if you want, but the hands-on labs require you to have a Windows or Mac computer. If you use the command line path through the course, you can also use Linux. This course uses Bitbucket (bitbucket.org) as the hosted provider for remote Git repositories. Bitbucket is free for teams of up to 5 people, including private repositories. However, most of the knowledge that you gain in this course applies to Git itself, and you can apply this knowledge to other hosted Git providers (such as GitHub). This course tries to be as concise as possible. It will probably take you about 5-10 hours to go through one of the two paths, but your mileage may vary.
Offered By
- Data Scientists
- Software Engineers
- Technical Leads
- Systems Analysts
- Machine Learning Engineers
Skills you will gain
Syllabus - What you will learn from this course
Our First Repository
This module gets you started using Git. It provides the foundation for the rest of the course. You will install Git and/or Sourcetree, create a local repository, create a commit, create a remote repository and push commits to a remote repository. You have the option of doing the hands-on labs using the Sourcetree graphical Git client and/or using a command line.
Branching and Merging I
This module discusses to of the key concepts involved with Git: branching and merging. It starts with foundational knowledge on Git's commit graph model, Git IDs and references. Branching and merging are then covered, including the difference between fast-forward merges and using merge commits.
Branching and Merging II
This module continues the discussion of branching and merging. It starts with resolving a merge conflict. Then synchronizing with remote repositories is covered, including the fetch, pull and push commands. The other major topic of this module is rewriting history. The commit history is an important part of a project. A clean commit history makes it easier to understand the project, and then contribute to it by adding new features or fixing problems. If you have not shared your commits, you can rewrite them in a way that makes a cleaner project history. Rewriting history includes amending commits and rebasing.
Git Workflows
This module covers topics on how teams work with Git. Git is flexible enough to work with many types of projects and teams. The better you understand Git's capabilities, the more effectively to can use it in your projects. Topics include pull requests, centralized workflows, feature branch workflows, forking workflows and Gitflow workflows. This module concludes with a project in which you use Git with a Gitflow workflow.
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Top reviews from Version Control with Git
Great course, should be a pre-requisite or additional reading to any intro data science course using Git. Straight-forward, not overly taxing to your time, and full of practical application exercises.
This was certainly a very well constructed course. It challenged my perceptions, my ideas and my knowledge. I would certainly recommend for anyone looking to get a good understanding of Git.
Instructor
Steve Byrnes
Instructional DesignerAbout Atlassian
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
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