Master LLMs with our FREE course in collaboration with Activeloop & Intel Disruptor Initiative. Join now!

Publication

Want to Stand Out in Data Science? Don’t Make These Portfolio Mistakes!
Latest   Machine Learning

Want to Stand Out in Data Science? Don’t Make These Portfolio Mistakes!

Last Updated on July 17, 2023 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

Is Your Data Science Portfolio Sinking Your Career? Don’t Make These 10 Mistakes

Data science is a rapidly growing field, and as more and more people enter the industry, it’s becoming increasingly important to differentiate yourself from the competition. One of the best ways to do this is by building a strong data science portfolio, which showcases your skills, expertise, and experience.

However, creating a portfolio that stands out from the crowd is not always easy, and there are many common mistakes that aspiring data scientists make when putting together their portfolios.

In this article, we’ll explore some of the most common portfolio mistakes that data scientists make, and provide tips and advice on how… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓