How to Think like a Data Scientist, Even If You Aren't One - Tesseract Academy

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To determine if a problem can be solved using data science, you must be able to phrase it either as a statistical modelling problem, a hypothesis test, a supervised learning problem, or an unsupervised learning problem. A statistical modelling problem is one in which you are trying to figure out the relationship between two variables and if one is important for the other. Hypothesis tests are employed when you want to conduct a comparison between two groups. In essence, you are looking to discover whether the two groups differ, and how they differ. A good example of this is A/B testing.

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