This is the fifth and final post in a series of posts on how to build a Data Science Portfolio.
In the previous posts in our portfolio series, we talked about how to build a storytelling project, how to create a data science blog, how to create a machine learning project, and how to construct a portfolio.
In this post, we’ll discuss how to present and share your portfolio. You’ll learn how to showcase your work on Github, a popular site that hosts code repositories, data, and interactive explorations. In the first part of the post, we’ll cover how to upload your work to Github. In the second part of the post, we’ll cover how to present your work on Github, and how to impress hiring managers.
Before diving into this post, you should have a couple of projects that you want to showcase. If you need some inspiration, you can consult our previous posts via the links above.
Part One – git and Github tutorial
Github is built around a technology called git, a distributed version control system. This may sound intimidating, but all it means is that it lets you create...