Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. Written by renowned data analytics experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science and guides you through the "analytical thinking about data" necessary to extract useful knowledge and business value from the collected data. This guide also helps you understand many of the data mining techniques in use today.GET THE BOOK
Building on the MBA course Provost has taught at New York University over the past ten years, Data Science for Business presents examples of real-world business problems to illustrate these principles. You will learn not only how to improve communication between business stakeholders and data analysts, but also how to intelligently participate in your company's data science projects. You will also learn how to think analytically and fully appreciate how data analysis methods can support business decision making.
Foster Provost is a professor and faculty member of the NEC at NYU Stern School of Business, where he teaches MBA, Business Analytics, and Data Science programs. His award-winning research is widely read and cited. Prof. Provost is a co-founder of several successful data science companies for marketing purposes.
Tom Fawcett holds a PhD. is machine learning and has been working in the research and development industry for over two decades for companies such as GTE Laboratories, NYNEX / Verizon Labs and HP Labs. His published work has become standard reading in data science.
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