What do you need to get started with the Git and GitHub course?
Here’s what you’ll need:
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A working laptop/desktop with 4 GB RAM
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A working Internet connection
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A GitHub account
Learn All About Git and GitHub in this Essential Course for Data Scientists
Ever heard of version control? It is one of the most important concepts in a data scientist’s daily role - and yet most newcomers and beginners haven’t even come across it! This is a fallacy you must overcome as soon as possible.
You need to understand how to navigate through Git and GitHub if you want to make it as a data science professional. While a lot of folks know about these tools (having used them for cloning open source code from Google Research and other top data science organizations), they never really understand their real purpose.
The beauty of version control will be akin to a revelation. The way you can create a remote project and have all your team members work on different features parallelly yet independently but still have a stable running code at the end of the day - priceless! A lot of the problem we face in data science while working remotely and independently will be erased with a quick understanding of Git and GitHub.
Yes, this course really is that important!
Highlights of the Git and GitHub Course
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Learn the value and the in’s and out’s of Git and GitHub in this comprehensive guide for beginners
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No prerequisites required - start from scratch and understand how Git and GitHub work
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How you can use Git and GitHub to make your data science projects easier to track
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You will add an essential data scientist skill to your portfolio after the course - version control!
Course curriculum
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1
Getting Familiar with Git and Github
- What is Git?
- What is Github?
- AI&ML Blackbelt Plus Program (Sponsored)
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2
Understand Git Terminology
- What is a Repository?
- Understand Cloning
- Let's Commit!
- Understanding Push
- Understanding Pull
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3
Get Started with Git
- Install Git in your system
- Let's Initialize Git!
- Configure Git in your system
- Committing files in Git
- View Logs in Git
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4
Going Remote - Get started with Github
- Create Remote Repository
- Add Git Remote to Your Repository
- Push using Git
- Cloning a GitHub Repository
- Branching and Merging
- Pull using Git
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5
What's next?
- Forking and contributing to the world
FAQ
Common questions related to the Getting Started with Git and GitHub for Data Science Professionals
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I have decent programming experience but no background in data science or machine learning. Is this course right for me?
Absolutely! We have designed and taught this course in a way that caters to beginners coming from any background. Git and GitHub are two critical tools you should know as a data scientist or data science professional. The very idea of version control isn’t taught in many courses - and that’s a grave miss. You can learn all about it in this course and apply that when you start learning data science.
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What is the fee for the course?
This course is free of cost.
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How much effort do I need to put in for this course?
You’ll be able to finish this course in a week’s time if you spend an hour on it daily and explore it on your own along with what you learn here.
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I’ve completed this course and have a good grasp on how to navigate Git and GitHub. What should I learn next?
The next step in your journey is to build on what you’ve learned so far. There are plenty of options to choose from. We suggest heading to courses.analyticsvidhya.com and browsing through the various offerings available.
You should also try and contribute to a few repositories based on your interests. That’s how you can build your data science portfolio! -
Can I download the videos in this course?
We do not allow videos to be downloaded from the platform. You can visit this free course anytime to refer to these videos.