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Statistics. It's assumed that most people are picking up R, Python, C whatever through their own means, not in courses. But Statistics is something that has a base knowledge that will never change, although languages and processes will always be evolving. There is always going to standard deviation, mean, regressions. Get a Masters in Statistics and you will be good to go.
Data science is just "soft" statistics. Computer science programs are pretty poor and are quickly outdated.
Study Statistics. Spend your time learning Python, R, and other languages. That is what's wanted in this economy.
Data science is a very broad title. It depends on what side of DS you want to be on. If you are interested in Machine Learning and deep learning I would say statistics with a strong math background, if you are interested in putting stuff into production code for companies I would recommend comp sci.
would you be able to post the curriculum of both here.
my thinking is at least in computer-engineering you would have to go thru calc-1, calc-2, calc-3, differential equations, and stochastic processes (i dont know if computer-science goes thru the math as heavy ?).
Statistics. It's assumed that most people are picking up R, Python, C whatever through their own means, not in courses. But Statistics is something that has a base knowledge that will never change, although languages and processes will always be evolving. There is always going to standard deviation, mean, regressions. Get a Masters in Statistics and you will be good to go.
Data science is just "soft" statistics. Computer science programs are pretty poor and are quickly outdated.
Study Statistics. Spend your time learning Python, R, and other languages. That is what's wanted in this economy.
thank you very much. that is very helpful
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