Building a Standout Data Science Portfolio: A Comprehensive Guide

Learn how to create an impactful data science portfolio that showcases your skills and attracts potential employers

Context

I started my data science portfolio website in 2018 when I was fresh out of school. Unsurprisingly, I set it up, hoping it could help my job search and career development. Six years later, I’m proud of the progress and consistency in updating it. My portfolio has become a rich repository of my journey, projects, and insights.

Having a data science portfolio helps you document your learnings, reflect on your career, and engage with the data science community. It’s also invaluable for job searches, showcasing your skills and projects in greater depth than a traditional resume.

In this article, I will discuss how to set up a data science portfolio, its content strategy, and what makes a good portfolio. If you’ve considered this idea but don’t know where to start, this article is for you.

Screenshot of My Data Science Portfolio Website

Set Up Your Portfolio

There are multiple ways to set up your data science portfolio. Below are the five most common options with their pros and cons.