Essential Git - All You Need to Know to Use Git Effectively

Course Feature
  • Cost
    Free Trial
  • Provider
    Skillshare
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    2.00
  • Instructor
    /
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2.5
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Learn the essential Git commands and workflows used by professional developers with Essential Git - All You Need to Know to Use Git Effectively. This course covers the basics of Git, from installation to remote repositories, and provides a comprehensive understanding of the theory and use cases behind each feature. With more than 2 hours of video tutorials and a book of the whole course, you'll be able to use Git effectively and move on to the important stuff - coding.
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Course Overview

❗The content presented here is sourced directly from Skillshare platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This course, Essential Git - All You Need to Know to Use Git Effectively, is designed to teach software developers the fundamentals of Git and how to use it effectively. The course starts with an introduction to Git and then progresses to installing Git, learning the fundamentals, starting with Git, using Git tools, understanding Git branches and tags, managing remote repositories, and learning Git workflows. The course also includes a collaborative project that uses all the knowledge from the course and leverages Github as a community platform.

The course has more than 2 hours of video tutorials and a book that covers all of the video content, so that students can refer to any information in a printed format. The course is designed to teach the essentials of Git and move on to the important stuff, like coding.

The target audience for this course is software developers who want to learn Git from scratch. Upon completion of the course, students will be able to start a Git repository from an existing project or clone a project hosted on the Internet, become knowledgeable with the Github portal and how to use it professionally, obtain a fundamental understanding of how to manage remote repositories, learn the theory of and why branches are important, and participate in a Git collaborative project with other developers.

Requirements for the course include a computer with internet access and administrative access to install packages, as well as a basic understanding of how to use the internet and text editors.

[Applications]
Upon completion of this course, students will be able to apply their knowledge of Git to their own projects. They will be able to start a Git repository from an existing project or clone a project hosted on the Internet, use the Github portal professionally, manage remote repositories, understand the importance of branches, and participate in a Git collaborative project with other developers.

[Career Paths]
Recommended career paths for learners of this course include:

1. Software Developer: Software developers use Git to manage their code and collaborate with other developers. They use Git to track changes, create branches, and merge code. With the knowledge gained from this course, software developers can use Git effectively and efficiently.

2. DevOps Engineer: DevOps engineers use Git to manage their code and collaborate with other developers. They use Git to track changes, create branches, and merge code. With the knowledge gained from this course, DevOps engineers can use Git effectively and efficiently.

3. System Administrator: System administrators use Git to manage their code and collaborate with other developers. They use Git to track changes, create branches, and merge code. With the knowledge gained from this course, system administrators can use Git effectively and efficiently.

4. Data Scientist: Data scientists use Git to manage their code and collaborate with other developers. They use Git to track changes, create branches, and merge code. With the knowledge gained from this course, data scientists can use Git effectively and efficiently.

The development trends for these career paths include the use of automation and machine learning to streamline processes, the use of cloud-based services to store and manage data, and the use of open source tools to create and maintain software. Additionally, the use of version control systems such as Git is becoming increasingly important for all of these career paths.

[Education Paths]
Recommended degree paths:
1. Computer Science: Computer Science is a field of study that focuses on the design, development, and implementation of computer systems and software. It is a rapidly growing field, with new technologies and applications being developed every day. As such, it is important for students to stay up to date on the latest trends and developments in the field.

2. Software Engineering: Software Engineering is a field of study that focuses on the design, development, and maintenance of software systems. It is a rapidly growing field, with new technologies and applications being developed every day. As such, it is important for students to stay up to date on the latest trends and developments in the field.

3. Information Technology: Information Technology is a field of study that focuses on the design, development, and implementation of computer systems and software. It is a rapidly growing field, with new technologies and applications being developed every day. As such, it is important for students to stay up to date on the latest trends and developments in the field.

4. Data Science: Data Science is a field of study that focuses on the analysis and interpretation of data. It is a rapidly growing field, with new technologies and applications being developed every day. As such, it is important for students to stay up to date on the latest trends and developments in the field.

Developing trends in each field:
1. Computer Science: Artificial Intelligence, Machine Learning, Natural Language Processing, Blockchain, Cloud Computing, Cybersecurity, Internet of Things.

2. Software Engineering: Agile Methodology, DevOps, Automation, Cloud Computing, Mobile Development, Web Development.

3. Information Technology: Cloud Computing, Cybersecurity, Big Data, Internet of Things, Artificial Intelligence, Machine Learning.

4. Data Science: Machine Learning, Artificial Intelligence, Natural Language Processing, Big Data, Cloud Computing, Data Visualization.

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Pros & Cons
  • Clear explanations
  • Easy to understand
  • Comprehensive
  • Fastpaced
  • Goldilocks level
  • High quality
  • Great sound and video
  • Difficult to grasp theory
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