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Data Science: Mindset, Methodologies, and Misconceptions by Zacharias Voulgaris PhD

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Chapter 5 Data Science Questions and Hypotheses

Although everyone talks about the data science pipeline, the data scientist’s toolbox, and all the great things that data science can do for you, few data science professionals bother talking about one of the most essential means of tackling data science problems: questions. This is probably because it is less high-tech than other parts of the craft, while it is perceived as a less data science savvy task. This is however, yet another misconception about the field.

Questions in data science may stem from a project manager to some extent, but most of them come from you. The only way to find answers to your questions is through the data you have, so the questions need to be constructed and processed ...

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