Yeah, I was accepted into a data science masters program but figured I should just self-teach 
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Pardon my jumping in, but this is relevant to my future too. Why is that? I know quite a lot of statistics and am excited but I would also like to know why you'd recommend someone not go that way.
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Replying to @acidntya @freezing_cloud and
I'm a little nervous about the DS market, yeah. My bead is that you can split it into two main workstream classes, ML and analytics. At small companies they tend to get rolled together; enterprise scale, split out. ML is mostly being eaten by specialists at big firms,
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Replying to @eigenrobot @freezing_cloud and
Analytics is still straightforward but you probably need to lean heavily on personal/communications for that (great if you can!) Main worry now is that bottom might dropping out on startups given the collapse (but I have no idea about this honestly)
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Replying to @eigenrobot @freezing_cloud and
My firm is not hiring more entry DS this year apparently. One nice thing about DS is that if your stats are just reasonably solid, you're probably ahead of your competition. Most people churned out of undergrad/bootcamp are b a d and you don't need much to outperform
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Not a freeze but we hit our annual headcount fast :(
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