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Getting Started with Git and GitHub
IBM DevOps and Software Engineering,
Get started with Git and GitHub in this self-paced, introductory course! You’ll become familiar with collaborative version control and popular Git platforms. Collaboration and social coding are crucial parts of contemporary Software Engineering practices and the DevOps culture. You will begin this course with an overview of Git and Github fundamentals and explore key Git concepts such as branching and repositories, as well as the use of Git commands. You will also learn and practice various Git concepts such as forking, cloning and merging workflows using hands-on labs. And you’ll learn to use GitHub to work effectively as a team, and perform common Git operations, such as Pull Requests, from both the Web UI and command line. The course wraps up with a final project where you will start building your portfolio by creating and sharing a public/open-source GitHub project. By completing this course you will demonstrate your Git and Github skills as well as add a project to your resume! All hands-on activities in this course can be performed using web-browser based tools and interfaces. Installation of any specialized software is NOT required on your own computer in order to complete the course.
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Rating | Not enough ratings |
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Length | 4 weeks |
Effort | 3 weeks of study, 2-4 hours/week |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | IBM, IBM Skills Network via Coursera |
Instructors | Upkar Lidder, Rav Ahuja |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | 3 weeks of study, 2-4 hours/week |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | IBM, IBM Skills Network via Coursera |
Instructors | Upkar Lidder, Rav Ahuja |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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