Skill Level Intermediate
- Data science is a field that is rapidly expanding. As it broadens in scope, it becomes more nuanced, more specialized, and has a greater impact on our lives. To prepare for a career in data science, you'll need to be well-versed in a number of tools that can help you succeed. One of the most useful tools is the GitHub platform. GitHub is a worldwide platform that allows data scientists and programmers from across industries and around the globe to collaborate and ideate on their code. It's an essential tool when it comes to creating great code and innovating new approaches in data science, and it's a tool that I use regularly. I'm Sara Anstey, and I'm a data scientist for Novacoast, a cybersecurity firm. In my job, I'm constantly collaborating with programmers from all over the world and in every industry, from media to medical to government, and collaborating efficiently and effectively is the crux of what I do. In this course, I'm going to teach you how to use GitHub to make your code and your data science teams more successful. I'll break down the terminology and give you a roadmap for how to navigate the GitHub platform. I'll share tips on how to create a great portfolio, and I'll walk you through how to use the main functions of GitHub in a step-by-step process. You'll learn how to use GitHub to collaborate with your team more effectively, use the platform to organize feedback and tasks, and ultimately learn from each other in the wider GitHub community. This free resource is one of the best tools on the market and a great platform to master. So if you're ready to get started with GitHub, let's dive in.