Online Course
Git and GitHub

Acquire essential version-control skills that will boost your resume and help you thrive in a real-life working environment

4.9

808 reviews on
14330 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

1 hour
  • Lessons (1 hour)
  • Practice exams (10 minutes)

CPE credits:

1.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Learn to use Git and GitHub for collaborations.
  • Track and review changes in your projects with the Git log.
  • Leverage ‘Branching’ in Git and organize your workflow efficiently.
  • Master fundamental Git commands and handle your code with confidence.
  • Save your work in the cloud with GitHub.

Topics & tools

theorygitgithubprogramming

Your instructor

Course OVERVIEW

Description

CPE Credits: 1.5 Field of Study: Information Technology
Delivery Method: QAS Self Study
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.

Prerequisites

  • Git (available at git-scm.com) and a GitHub account (free at github.com)

Advanced preparation

  • None

Curriculum

12 lessons 2 exams
  • 1. Course Introduction
    6 Min
    In this section, we look at why you should learn how to use Git for version control. Git is a particularly useful tool that will help you keep track of your projects and all the major changes you make in your code. GitHub, on the other hand, enables you to store your code online so you and others can have access to it to create a truly collaborative project. And if that's not enough, working with Git is also a near requirement for any data scientist today.
  • 2. Introduction to Git
    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.
  • 3. GitHub
    5 Min
    In this section, we will cover GitHub and discuss some of the benefits of saving your documents online.
  • 4. Conclusion
    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!
  • 5. Course exam
    20 Min

Free preview

Introduction - Git and GitHub

1.1 Introduction - Git and GitHub

6 min

Installing Git

2.1 Installing Git

1 min

Configure Git

2.2 Configure Git

5 min

Basic commands

2.3 Basic commands

5 min

Exploring Git log

2.4 Exploring Git log

5 min

Git diff

2.5 Git diff

2 min

Start for free

9 in 10

of our graduates landed a new AI & data job

after enrollment

96%

of our students recommend

365 Data Science.

4.9

Based on 808 reviews

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ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

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