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    HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

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      FORMAT: Hardback

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      Format: Hardback

      Don't let a fear of numbers hold you back.Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started?Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others.You'll learn how to:Identify the metrics you need to measureRun experiments and A/B testsAsk the right questions of your data expertsUnderstand statistical terms and conceptsCreate effective charts and visualizationsAvoid common mistakes
      CONTRIBUTORS: EAN: 9781633695573 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 228 cm
      PUBLISHED BY: Harvard Business Review Press DATE PUBLISHED: 2018-04-03 CITY: GENRE: BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Management, BUSINESS & ECONOMICS / Operations Research, BUSINESS & ECONOMICS / Statistics WIDTH: 127 cm SPINE:

      Book Themes:

      Management decision making

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      Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 13 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact.Author social media/website info: hbr.org; @HarvardBiz; linkedin.com/company/harvard-business-review; facebook.com/harvardbusinessreview; youtube.com/user/harvardbusinessreview

      Format: Hardback

      Don't let a fear of numbers hold you back.Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started?Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others.You'll learn how to:Identify the metrics you need to measureRun experiments and A/B testsAsk the right questions of your data expertsUnderstand statistical terms and conceptsCreate effective charts and visualizationsAvoid common mistakes
      CONTRIBUTORS: EAN: 9781633695573 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 228 cm
      PUBLISHED BY: Harvard Business Review Press DATE PUBLISHED: 2018-04-03 CITY: GENRE: BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Management, BUSINESS & ECONOMICS / Operations Research, BUSINESS & ECONOMICS / Statistics WIDTH: 127 cm SPINE:

      Book Themes:

      Management decision making

      Customer Reviews

      Be the first to write a review
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      Harvard Business Review is the leading destination for smart management thinking. Through its flagship magazine, 13 international licensed editions, books from Harvard Business Review Press, and digital content and tools published on HBR.org, Harvard Business Review provides professionals around the world with rigorous insights and best practices to lead themselves and their organizations more effectively and to make a positive impact.Author social media/website info: hbr.org; @HarvardBiz; linkedin.com/company/harvard-business-review; facebook.com/harvardbusinessreview; youtube.com/user/harvardbusinessreview

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