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Advanced Git

AdvancedSkill Level

4.7+

Updated 06/2025

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

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GitProgramming3 hr12 videos38 Exercises2,950 XP7,221Statement of Accomplishment

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Course Description

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.

Prerequisites

Intermediate Git

1

Advanced Merging Strategies

In this chapter, you will learn practical Git merging techniques for managing complex data engineering projects. You'll explore different merge strategies and understand how to integrate code changes while maintaining a clean project history. By the end, you'll know how to handle various merge scenarios and reorganize commit histories.

Understanding Merge Types

Force fast-forward merge

Recursive merge

Fast-forward versus recursive

Complex Merge Scenarios

Squash merge

Octopus merge

Advanced Branch Integration: Git Rebasing

Rebase versus merge

Interactive rebase

2

Git History and Exploration

In this chapter, you will develop skills for investigating and managing your project's Git history. You'll learn techniques for selectively applying changes, identifying and fixing bugs, and managing sensitive information in your repository. These tools will help you maintain clean, traceable code in data engineering workflows.

Cherry-Picking

Cherry-Pick single commit

Handling cherry-pick abort

Bisect Initialization

Bisect Search

Git Filter Repo

Filtering sensitive data

Remove secrets file from repo

Finding deleted branches

Undoing a commit

Lost commit

3

Advanced Repository Management

In this chapter, you will explore advanced Git techniques for managing complex software projects. You'll learn how to work on multiple features simultaneously, organize code dependencies, handle large files, and implement efficient development workflows. These skills are essential for managing modern data engineering and software development projects.

Git Worktrees

Create a worktree

Remove a worktree

Git Submodules

Adding a Git submodule

Show all submodules

Git Large File Storage

Setting Up Git LFS

Identifying Git LFS File Storage

Trunk Based Development

Principles of Trunk Based Development

Trunk Based Development Workflow

ETL Repository Management

Advanced Git

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Daria

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Want a head start at version control in software or file management, this course got you covered. From basic knowledge to advanced techniques, lock in and become a better developer.

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FAQs

What Git experience do I need before this course?

You should complete Introduction to Git and Intermediate Git first. This course builds on branching, merging, and commit history concepts.

What advanced Git features does this course cover?

You will learn advanced rebasing, git reflog for disaster recovery, git bisect for debugging, Git LFS for large files, worktrees, and submodules.

Is this course relevant for data professionals?

Yes. It is specifically designed for data engineering and data science workflows, covering version control scenarios common in data pipeline development.

What is Git LFS and why would I use it?

Git LFS (Large File Storage) manages large files like datasets and model artifacts outside the main repository. You will learn to set it up and use it in the course.

How is the course structured?

It has 3 chapters and 39 exercises covering advanced merging strategies, Git history exploration and recovery, and large-scale project management tools.

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