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These can get a little tedious and heavy on programming, but are important so that you can fly around when doing the more advanced stuff. There was an online application with one or two coding challenges at the end.

Nycdsa usually only accepts people with a masters degree. My job application started in February and last until July, a month after the bootcamp started. He was an actual data scientist, and his educational background is very heavy in statistics.

I consult for different industries - primarily financial services but also airlines, hotels, pharmaceuticals, automotives - but always around IT and usually IT infrastructure. Were not getting students who are complete newbies but theres a big difference between having some experience and being an expert, which is what we intend them to be when they graduate. Best part about the course was that latest papers/ research work (as resent as Jan 2018) were discussed by Jon who also shared his experience and best practices. Both languages are useful for a data scientist; neither is better than the other. Based on their background and the interview we can assess if we think they will do well in the program. And check out the NYC Data Science website. We have two students who are engineers taking the class remotely from Atlanta. I used it a couple of times, but not when I was doing clinical research. These can range from presentation skills, to running effective meetings, and asking questions in a way that gets the most useful response. We have a programming question in the application form. They actually gave us incentive to give feedback. My goal was to get a deeper understanding and some practical experience in data science and machine learning, in order to be able to find a desirable data scientist job.

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