03.11.2024
Very important course!!
Acquire essential version-control skills that will boost your resume and help you thrive in a real-life working environment
What you get:
What you get:
What you get:
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
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.
1.1 Introduction - Git and GitHub
2.1 Installing Git
2.2 Configure Git
2.3 Basic commands
2.4 Exploring Git log
2.5 Git diff
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.
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.
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.
In this section, we will cover GitHub and discuss some of the benefits of saving your documents online.
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!
Level of difficulty: Beginner
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.
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.
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