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Data science sounds theoretical, and in some ways it is, but it’s also a practical profession in many ways. Tutorials will present ideal scenarios, with made up datasets that are small and clean. The real world is big and messy. You provide value as a data scientist by applying all kinds of small tricks and hacks that they don’t tell you about in any tutorials. How do you learn those? You learn by doing.
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Currently I am working as a tester now, and looking to get trained in Data scientist.
Will that be a good decision, if I change my stream and move to data scientist field ?
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