DataCamp

GitHub Concepts

Engineering and Technology

Short Description

Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.

Long Description

Enhance Your Project Management Skills with GitHub Are you struggling to stay organized and informed about the progress of your projects? Are you unsure about the distinctions between GitHub and Git? Enroll in our comprehensive course to master the utilization of GitHub, become an efficient collaborator, and gain a clear understanding of the differences between GitHub and Git. Gain Proficiency in Key GitHub Concepts Building upon the foundational knowledge acquired in our Introduction to Version Control with Git course, this advanced program equips you with the necessary skills to navigate the GitHub user interface seamlessly. Throughout this course, you will learn to execute essential tasks such as creating both public and private repositories, modifying files, managing branches and issues, assigning tasks, tagging users, reviewing pull requests, and merging branches. Additionally, you will discover how to clone and fork repositories, as well as generate private access tokens (PAT). Upon completion of this course, you will possess the expertise to apply these newfound skills to any coding or data project, enabling you to maintain a sense of organization and control. Your proficiency in GitHub will make you an invaluable collaborator, sought after by all.

Course Details

Duration
2 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.