Git and GitHub
Acquire essential version-control skills that will boost your resume and help you thrive in a real-life working environment
$99.00
Lifetime access
What you get:
- 1 hour of content
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
Git and GitHub
$99.00
Lifetime access
What you get:
- 1 hour of content
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
$99.00
Lifetime access
What you get:
- 1 hour of content
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Learn to use Git and GitHub for team collaboration to contribute effectively in a team environment
- Become proficient with the Git log to track and review changes in your projects
- Understand how to take advantage of ‘Branching’ in Git and organize your workflow in an optimal way
- Master fundamental Git commands and handle your code with confidence
- Save your work in the cloud with GitHub
- Boost your resume by acquiring skills needed to perform successfully in a real-world working environment
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
In this course, you will learn the basics of version control for data science with Git. Git is a free and open-source distributed version control system designed to handle projects of different size, speed, and efficiency. Git has a tiny footprint with lightning-fast performance. Not only that, but it’s also great for anyone who wants to be working on code, making extra changes and still be able to go back to an earlier version.
Learn for Free
1.1 Introduction - Git and GitHub
6 min
2.1 Installing Git
1 min
2.2 Configure Git
5 min
2.3 Basic commands
5 min
2.4 Exploring Git log
5 min
2.5 Git diff
2 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 2. Introduction to Git8 Lessons 34 Min
Here, you will learn how to install and configure Git on your machines, whether you’re a MAC fan or you prefer to use Windows. We will go through the basic command that will give you a solid foundation and understanding of how Git works. You’ll learn how to keep a record of all major changes you make to a document. You will get acquainted with the use of notes while working on several versions of your document. In addition, we will show you how to revisit every record that you’ve made, and how to track its evolution. What is more, we will touch on Branching and will teach you how to work with several people on a single document.
Installing Git1 minConfigure Git5 minBasic commands5 minExploring Git log5 minGit diff2 minHEAD3 minMaking corrections Git reset7 minBranching6 min - 3. GitHub2 Lessons 5 Min
In this section, we will cover GitHub and discuss some of the benefits of saving your documents online.
GitHub3 minGitClone2 min - 4. Conclusion1 Lesson 4 Min
A short overview of what we've discussed so far in the course, some parting words of encouragement and advice... and a sincere thank you!
Conclusion4 min
Topics
Course Requirements
- No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course
Who Should Take This Course?
Level of difficulty: Beginner
- Aspiring data analysts, data scientists, data engineers, AI engineers
- Everyone who wants to work how to work with Git and GitHub
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Giles wants to teach you Python. Not only that – he will show you how to use Python to create, achieve, and problem-solve. He started coding more than a decade ago during his studies, achieving a First-Class Honors Degree in Physics. Back then, his area of interest was medical physics (specifically MRI physics), so he went to Oxford University to conduct advanced research into the field. If you are passionate about learning Python and exploring data science, you will find Giles’ YouTube channel called ‚Python Programmer‘ extremely interesting. In his authentic delivery style, he reviews learning resources, provides book and course suggestions, and shares a number of exciting data analysis project ideas.
What Our Learners Say
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