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

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Chapter 6 Data Science Experiments and Evaluation of Their Results

So, you’ve come up with a promising question for your data, and you have formulated a hypothesis around it (actually you’d probably have come up with a couple of them). Now what? Well, now it’s time to test it and see if the results are good enough to make the alternative hypothesis you have proposed (Ha) a viable answer. This fairly straight-forward process is something we will explore in detail in this chapter, before we delve deeper into it in the chapter that ensues.

The Importance of Experiments

Experiments are essential in data science, and not just for testing a hypothesis. In essence, they are the means of the application of the scientific method, an empirical approach ...

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