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    Business Analytics

Business Analytics

Business Analytics
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      Business analytics is all about leveraging data analysis and analytical modeling methods to achieve business objectives. This book is suitable for students with special interest in data science, business, or both. Methods are presented in an intuitive fashion, and business applications are backed up by an approachable level of mathematical rigor. The balance makes the material accessible to students with a broad range of backgrounds: those looking for 'So that's how it works!', 'So that's what it's for!', and 'So that's how to do it!' Students will come away well-positioned and well-differentiated for their future industry, consulting, academic, and government roles as data-savvy business practitioners. Accompanied by a robust set of digital materials including code, data sets, primers, and more for both students and instructors, this text is the ideal learning resource for senior and graduate students in business or data science departments.
      Format: CONTRIBUTORS: Business Analytics EAN: 9781009060790 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT:
      PUBLISHED BY: Cambridge University Press DATE PUBLISHED: 2024-10-31 CITY: GENRE: BUSINESS & ECONOMICS / Strategic Planning WIDTH: SPINE:

      Book Themes:

      For graduate / post-graduate and equivalents, Data science and analysis: general, Business strategy, Data capture and analysis, Machine learning

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      Dr. Richard Huntsinger is an author, professor, expert witness, Silicon Valley entrepreneur, Fortune 500 R&D executive, and management consultant with broad international experience leading programs in data analytics, process automation, and enterprise software development. He has led development and commercialization of more than twenty high-tech products, and has served on the management teams of several venture-backed start-ups from build-out to IPO and acquisition. He now serves as Faculty Director and Distinguished Teaching Fellow at the University of California-Berkeley, where he lectures and oversees research on data science applied to business and public policy, and leads the popular executive program in data strategy.
      Business analytics is all about leveraging data analysis and analytical modeling methods to achieve business objectives. This book is suitable for students with special interest in data science, business, or both. Methods are presented in an intuitive fashion, and business applications are backed up by an approachable level of mathematical rigor. The balance makes the material accessible to students with a broad range of backgrounds: those looking for 'So that's how it works!', 'So that's what it's for!', and 'So that's how to do it!' Students will come away well-positioned and well-differentiated for their future industry, consulting, academic, and government roles as data-savvy business practitioners. Accompanied by a robust set of digital materials including code, data sets, primers, and more for both students and instructors, this text is the ideal learning resource for senior and graduate students in business or data science departments.
      Format: CONTRIBUTORS: Business Analytics EAN: 9781009060790 COUNTRY: United Kingdom PAGES: WEIGHT: HEIGHT:
      PUBLISHED BY: Cambridge University Press DATE PUBLISHED: 2024-10-31 CITY: GENRE: BUSINESS & ECONOMICS / Strategic Planning WIDTH: SPINE:

      Book Themes:

      For graduate / post-graduate and equivalents, Data science and analysis: general, Business strategy, Data capture and analysis, Machine learning

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      Dr. Richard Huntsinger is an author, professor, expert witness, Silicon Valley entrepreneur, Fortune 500 R&D executive, and management consultant with broad international experience leading programs in data analytics, process automation, and enterprise software development. He has led development and commercialization of more than twenty high-tech products, and has served on the management teams of several venture-backed start-ups from build-out to IPO and acquisition. He now serves as Faculty Director and Distinguished Teaching Fellow at the University of California-Berkeley, where he lectures and oversees research on data science applied to business and public policy, and leads the popular executive program in data strategy.

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