This course dives deep into Git's advanced features and is geared toward data engineering and data science workflows. You'll master complex merging strategies, learn to manipulate repository history and optimize Git for large-scale data projects. Key topics include advanced rebasing, git reflog for disaster recovery, efficient debugging with git bisect, and managing large files with Git LFS. You'll also explore parallel development using worktrees and how to modularize project structures with submodules. By the end of this course, you'll have the skills to handle complex version control scenarios and issues in data pipeline development and collaborative data projects.Read more.
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The techniques and tools covered in Advanced Git are most similar to the requirements found in Data Engineer data science job advertisements.
