stray observation if your data adjacent sql is really really easy to learn, if you spend a weekend learning basic operations and brush up before your interview youll be reasonably solid for most data science positions this is prlly the best thing you can do coming out of schoolhttps://twitter.com/peachblvd/status/1450993542843617283 …
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i have never programmed loops in sql i just use python bindings and loop through SELECT or INSERT statements as God intendedhttps://twitter.com/eevee_not/status/1451002403663253510?t=dfbrZJ5hKIsgYn_EE8e8hg&s=19 …
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one of my friends graduated in econ or something and had trouble finding jobs then did the free google data analytics course and got a pretty decent offer a few weeks afterhttps://www.coursera.org/professional-certificates/google-data-analytics …
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I feel like it’s easy to grasp the basics but really hard to master.
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dont need mastery to get an offer!
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My problem is that the names keep changing, I know 32 years of SQL but wtf is a "data engineer"?
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data engineers are the people who allegedly build and maintain data pipelines and dashboards and certain other data products but mostly dont do practical analysis of those data
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how much of the engineers’ jobs are optimizing for a specific db problem vs writing queries in your shop?
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*db platform
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All you need to know about sql to get started you can get in the codecademy intro to sql course The main trick, for an application developer, is integrating it into your design patterns
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