FeaturedUdemy
Advanced Git
4.8(1,088)8k studentsADVANCEDEnglish
Korshub's take
The Korshub Take
This advanced course goes far beyond standard commits and branches, focusing explicitly on Git's most powerful capabilities tailored for data science and engineering workflows. It equips you with the tools needed to manage massive projects and recover gracefully from complex version control disasters.
Who It's For
Data engineers, data scientists, and developers who work on large-scale collaborative data projects and need to master intricate repository manipulation and optimization techniques.
Key Takeaways
- Repository Manipulation: Master advanced rebasing techniques, complex merging strategies, and history manipulation.
- Disaster Recovery & Debugging: Learn to utilize git reflog to recover lost data and git bisect for highly efficient bug tracking.
- Scaling for Data: Discover how to handle large files effectively using Git LFS, an essential skill for modern data pipelines.
- Workflow Optimization: Modularize complex project structures with submodules and manage parallel development effortlessly using Git worktrees.
About this course
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.
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