i can't tell if data science / data engineering is just really hard or still lacks good teaching resources or both
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Replying to @nwilliams0301 reply 0 retweets 5 likes
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Replying to @realjdburn @nwilliams030
its tricky problem is that a lot of getting good is a matter of techne rather than episteme best approach is to (i) take classes to get your footing, but then (ii) identify a thing you want to learn or make and do/make it so you can actually understand everything from (i)
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Replying to @eigenrobot @nwilliams030
and then iterate on (ii) until you get a job and then work for five years really getting good
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Replying to @eigenrobot
:O what's the minimum viable data science years i should work before i run away to work at an atelier
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Replying to @nwilliams030
Depends on the working conditions :) You mean how long to stay corporate before (something else)? Unsure about this tbh, I've only been working seriously for maybe two years
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Replying to @eigenrobot @nwilliams030
Pages 9-13 in this guide helped me think about this https://cdn.wealthfront.com/public.email.images/2013_Silicon_Valley_Career_Guide.pdf …
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Replying to @warmbott @nwilliams030
Probably worth considering that DS roles also vary with company size, though not necessarily in the same way For a first job midsize is probably a very good choice. Second best would probably large incumbents. I'd wait on a startup until you have experience,
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because if you're an early DS you'd be expected to wear a Lot of hats. This advice is less applicable if you're working under a strong mentor, in which case a smaller place could be a better choice than a large one. Many more thoughts on this if you like :)
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