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HBR guide to data analytics basics for managers : understand the numbers, make better decisions, present and persuade

By: Harvard Business Review.
Publisher: Boston, M.A. : Harvard Business Review Press, 2018Description: x, 231 p. : ill. ; 21 cm.ISBN: 9781633694286.Subject(s): Data | Analytics | Decision making | ManagementOnline resources: Download as an eBook
Contents:
GETTING STARTED: Keep up with your quants -- A simple exercise to help you think like a data scientist. GATHER THE RIGHT INFORMATION: Do you need all that data? -- How to ask your data scientists for data and analytics -- How to design a business experiment -- Know the difference between your data and your metrics -- The fundamentals of A/B testing -- Can your data be trusted? ANALYZE THE DATA: A predictive analytics primer -- Understanding regression analysis -- When to act on a correlation, and when not to -- Can machine learning solve your business problem? -- A refresher on statistical significance -- Linear thinking in a nonlinear world -- Pitfalls of data-driven decisions -- Don't let your analytics cheat the truth. COMMUNICATE YOUR FINDINGS: Data is worthless if you don't communicate it -- When data visualization works - and when it doesn't -- How to make charts that pop and persuade -- Why it's so hard for us to communicate uncertainty -- Responding to someone who challenges your data -- Decisions don't start with data -- APPENDIX: data scientist: the sexiest job of the 21st century.
Summary: Describes how to get started with data analytics, offering three key steps - finding the information, studying the data, and communicating your findings to others. Looks at how to ask the right questions, create effective charts and visualisations, and avoid common mistakes.
Item type Home library Call number URL Status Notes Date due Item reserves
Book Book Australia
280 HBR 2018 (Browse shelf) Issued 30/05/2019
EBook EBook International
EBL Ebook (Browse shelf) Link to resource eBook Available as an ebook here
Book Book New Zealand
280 DAT (Browse shelf) Issued 31/05/2019
Total holds: 2

GETTING STARTED: Keep up with your quants -- A simple exercise to help you think like a data scientist. GATHER THE RIGHT INFORMATION: Do you need all that data? -- How to ask your data scientists for data and analytics -- How to design a business experiment -- Know the difference between your data and your metrics -- The fundamentals of A/B testing -- Can your data be trusted? ANALYZE THE DATA: A predictive analytics primer -- Understanding regression analysis -- When to act on a correlation, and when not to -- Can machine learning solve your business problem? -- A refresher on statistical significance -- Linear thinking in a nonlinear world -- Pitfalls of data-driven decisions -- Don't let your analytics cheat the truth. COMMUNICATE YOUR FINDINGS: Data is worthless if you don't communicate it -- When data visualization works - and when it doesn't -- How to make charts that pop and persuade -- Why it's so hard for us to communicate uncertainty -- Responding to someone who challenges your data -- Decisions don't start with data -- APPENDIX: data scientist: the sexiest job of the 21st century.

Describes how to get started with data analytics, offering three key steps - finding the information, studying the data, and communicating your findings to others. Looks at how to ask the right questions, create effective charts and visualisations, and avoid common mistakes.

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