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A few positions I'm looking at list some desirable qualifications including: - Design and maintenance of (non-)/relational databases (e.g. Postgres, Cassandra, MongoDB, SQL) - Database programming skills - Setup experience I've never set up a database before, but I've done SQL queries; likely I'm not very qualified, but I bet neither are a majority of applicants. Does anyone know of a good primer on the hard skills involved with database maintenance and setup? Would it be worth setting up a sandbox to learn this?
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Jan 30, 2019 05:32
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Is it me or are qualifications for Data Analysts starting to become more technical? I'm starting to find that positions are mentioning UNIX environment experience, scripting, SQL, Pandas/SciPy. This seems to be more than the SQL, SAS, Tableau mix I was accustomed to seeing 1-2 years ago. I'm wondering if this is because of the skills being taught in data science courses saturating the market with applicants for analysts in data science roles rather than data scientists (like the analyst in consulting roles rather than the capital-c consultants) Anyway, all the interesting Data Scientist roles I'm looking at are asking for a Masters/PhD now. Seems like if I land an analyst job I'll go about enrolling in the Georgia Tech online program. Suicide Watch fucked around with this message at 07:25 on Dec 17, 2019 |
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Dec 17, 2019 07:22
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