What are the best online courses or certs to prove data science capability to interviewers? Or make most marketable?

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1. Have a repo with non-usual suspects datasets. Think beyond Iris, Titanic, MNIST ...
2. Have projects where you can in whole or in part talk about end to end life cycle steps. Try cleansing Zillow or Mueller. Or ingest Panama Papers.
3. Think beyond just training a model. Show how you can deploy the models as served endpoints. Show how you have built a continuous training loop.
4. Showcase how the models can be turned into microservices and be secured.
5. Incorporate bias detection and explainability into the work, however simple and trivial they maybe.
6. Feature tuning, model metrics dissection, data summarization, .... understanding these darn well is table stakes.

Don’t get too hung up on just learning the algorithms. They are essential, but there is a lot more.

likehelpful

GitHub projects/software dev > certs for data science

likehelpful

Yeah you'll get schooled if you put yourself out there as a DS and go through a technical interview (when all you've done is a Coursera class or two). Be up front with your knowledge and skills. If you have the basics down, just say it before the interviewers ask you to explain gradient descent 😉

So, if someone asks technical questions to gauge the fit, he is trying to prove that he is smarter. What a logic! 😂

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