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Nah, data science is an inherently multidisciplinary topic, and most data scientists aren't domain experts in anything. Data science is mostly valuable to the e
by civilized 5y ago
Nah, data science is an inherently multidisciplinary topic, and most data scientists aren't domain experts in anything. Data science is mostly valuable to the extent that data scientists learn the full spectrum of skills needed to do their jobs well.
- BiteCode_dev 5y agoJust like devoos, this is a fallacy. Eventually you can't be an expert in everything. Lost devops are very good at either dev or sysadmin, and not too bad at the other. Same for data scientists.
- civilized 5y agoI would call "can only use Jupyter notebooks" very bad at programming, not merely "not too bad". It's well below expectation in my opinion. Whether you choose to call it "good" or "not too bad", there is a minimum bar of competence that data scientists need to meet in statistics/ML/AI, programming, and their domain of application. And the ability to move from Jupyter notebooks to Python modules/packages is a basic.