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Covering your data science foundations is critical. But if you want to get hired, it's also not enough: somehow, you'll need to get companies interested in you. And that means building a project that proves to them that you can solve the kinds of problems they have. In this session, Jeremie explains what we've learned about designing great data science projects from over 500 mentorships at SharpestMinds. Specifically, he'll explain: 1. How to pick a great project idea; 2. The importance of collecting your own data, and how to do it well; 3. What companies want to see from your data cleaning and data exploration steps; 4. How to train and optimize your model without seeming like a noob; 5. The importance of understanding model evaluation; 6. **How to show off your project to the world so that it actually gets noticed!** To learn more, go to sharpestminds.com Follow us on Twitter: / sharpestmindsai Follow us on LinkedIn: / sharpestminds For job searching tips, check out our blog: https://www.sharpestminds.com/blog