Data Science Portfolio Guide

Perfect for beginners and professionals looking to build a strong portfolio that stands out

Ready to land your dream data role? The Data Science Portfolio Guide is your step-by-step playbook to building a compelling and professional portfolio that showcases your skills, experience, and potential. Whether you're just starting out or already working in data, this guide will help you craft a portfolio that turns heads and opens doors.

Inside, you’ll learn how to choose the right projects, tell a powerful data story, and present your work in a way that resonates with recruiters and hiring managers. From structuring case studies to selecting the best platforms (like GitHub, Notion, or personal websites), this guide gives you everything you need to stand out in a competitive market.

You’ll also get real-world project ideas, tips for technical presentation, and insights into what employers look for all tailored to data roles like Data Scientist