Command Line Git
This guide provides an introduction to using Git from the command line, making it accessible to non-developers and data scientists. Learn the basics of version control and how to use Git to manage your projects. ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This course, Command Line Git, provides an overview of the fundamentals of using git through the command line. Participants will learn how to become a productive user of git, as well as understand git commands in detail. Topics covered include git status, git add, git commit, git push, .gitignore, a preview of Markdown Language, git stash and pop, git diff, and removing files from a git repository. By the end of the course, participants will have a better understanding of how to use git through the command line.
[Applications]
After completing this course, users should be able to apply their knowledge of the command line Git to their own projects. They should be able to use the git status, git add, git commit, git push, .gitignore, git stash and pop, git diff, and Markdown Language commands to manage their projects. Additionally, they should be able to use the git commands to remove files from their git repository.
[Career Paths]
1. Software Developer: Software developers are responsible for designing, developing, and testing software applications. They use programming languages such as Java, C++, and Python to create software applications. With the increasing demand for software applications, software developers are in high demand and the job outlook is expected to grow by 21% from 2019 to 2029.
2. DevOps Engineer: DevOps engineers are responsible for automating the software development process. They use tools such as Jenkins, Docker, and Kubernetes to automate the process of building, testing, and deploying software applications. DevOps engineers are in high demand and the job outlook is expected to grow by 28% from 2019 to 2029.
3. Data Scientist: Data scientists are responsible for analyzing large amounts of data to uncover patterns and insights. They use tools such as Python, R, and SQL to analyze data and create predictive models. With the increasing demand for data-driven insights, data scientists are in high demand and the job outlook is expected to grow by 16% from 2019 to 2029.
4. Cloud Engineer: Cloud engineers are responsible for designing, deploying, and managing cloud-based applications and services. They use tools such as AWS, Azure, and Google Cloud Platform to build and manage cloud-based applications. With the increasing demand for cloud-based applications, cloud engineers are in high demand and the job outlook is expected to grow by 21% from 2019 to 2029.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. As technology continues to evolve, the demand for computer science professionals is expected to increase.
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as network security, database management, and web development. As businesses become increasingly reliant on technology, the demand for IT professionals is expected to grow.
3. Master of Science in Software Engineering: This degree path focuses on the design and development of software applications. It covers topics such as software architecture, software testing, and software project management. As software becomes more complex, the demand for software engineers is expected to increase.
4. Master of Science in Data Science: This degree path focuses on the analysis of large datasets. It covers topics such as data mining, machine learning, and predictive analytics. As businesses become increasingly reliant on data-driven decisions, the demand for data scientists is expected to grow.
Course Syllabus
Introduction: Git Overview
Creating a GitHub Account
Creating your first git repository
Recap of GitHub Repository Creation
Accessing your Account Settings in GitHub
Generating RSA Keys
Adding a Public RSA Key to GitHub
RSA Keys Recap
Cloning Your New Repository
Creating a README for your repository
Saving your README file to GitHub
Previewing your saved work on GitHub
Saving your first work file to GitHub
Creating New Files and a New Branch
Recap: Creating New Files and a New Branch
Comparing Branches (Visually)
Pull Requests and Merging
Git Pull: Download the Latest code version
Pros & Cons
Offers a lot of info.
Easy to understand.
Comprehensive explanation.
Good examples/exercises.
Perfect for beginners.
Forgot to cover some topics.
Need to search for some details.
Lack of explanation of commandline arguments.
Course Provider
Provider Udemy's Stats at AZClass
Command Line Git explains how to use Git from the command line, making it accessible to non-developers and data scientists. Learners can learn how to work with files in Git, including how to add, commit, and push files to a Git server, as well as how to ignore certain file types and how to compare differences between different versions of their work. Learners can learn how to use Git to collaborate, including how to collaborate with other users on the same project, how to share files, and how to resolve conflicts. This will enable them to collaborate effectively with others on projects using Git.
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Command Line Git