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From Big Data 1.0 to Big Data 2.0 8 Data and Data Science Capability as a Strategic Asset 9 Data-Analytic Thinking 12 This Book 14 Data Mining and Data Science, Revisited 14 Chemistry Is Not About Test Tubes: Data Science Versus the Work of the Data Scientist 15 Summary 16 2. Business Problems and Data Science Solutions 19
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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the.
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This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers.
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Data Science for Business: What you need to know about. (PDF) 4 Data Science for Business: What you need to know about data mining and data-analytic thinking (PDF) Foster Provost, Tom Fawcett 2013 โข 409 Pages โข 18.74 MB โข English + mining + data science + as you think + data mining Posted March 07, 2021 โข Submitted by verdie.satterfield