3 ms·
I recommend you go for data science rather than finance. For one you'll have less to learn to catch up (ML = prob theory + modelling skills). Also "data scienc
by ivan_ah 11y ago
I recommend you go for data science rather than finance.
For one you'll have less to learn to catch up (ML = prob theory + modelling skills). Also "data science" is a much broader skill that is in demand in many industries, while to apply your modelling skills to finance requires that you join one of the dirty banks, dirty hedge funds, or other dirty system construct.
This is a good book to have on the shelf: https://www.cs.ubc.ca/~murphyk/MLbook/ https://www.cs.ubc.ca/~murphyk/MLbook/
also on topic http://p.migdal.pl/2015/12/14/sci-to-data-sci.html http://p.migdal.pl/2015/12/14/sci-to-data-sci.html
- phystoind 11y agoThank you! As a followup question, looking at glassdoor it seems that data science salaries are lower on average than programming salaries (at least in the bay area). Is this actually the case? Is it also true for someone going into data science with a physics background? I'm asking because if a background in science is necessary for doing data science then I would expect salaries to be higher than for programming roles. This is simply because I'm guessing there are fewer scientists than programmers around. What am I missing here?
- deleted 11y ago[deleted]
- meric 11y agoIt's easier to make money hiring a programmer than hiring a data scientist. That's all.