ElvinOuyang

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In analytics, it’s more important for individuals to be able to formulate problems well, to prototype solutions quickly, to make reasonable assumptions in the face of ill-structured problems, to design experiments that represent good investments, and to analyze results.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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