HBR Guide to Data Analytics Basics for Managers (HBR Guide S
De (autor): Harvard Business Review
How to use data for better decisions--from gathering the right information to making sense of the numbers to communicating your findings and getting buy-in.
Provides practical advice for managers on how to use data to make smarter decisions
Describes a three-step process for understanding data: gathering the right information, analyzing the numbers, and communicating your findings
Provides perspectives on the topic from a variety of data and analytics experts
Contains advice on how to work more effectively with your data scientists, including questions to ask to get the data you need
Provides tips and tricks to make persuasive data visualizations
Explains analytical terms and concepts, including regression analysis, correlation vs. causation, and statistical significance
Audience: General (non-quant) managers.
Announced first printing: 20,000
Laydown goal: 7,500
Provides practical advice for managers on how to use data to make smarter decisions
Describes a three-step process for understanding data: gathering the right information, analyzing the numbers, and communicating your findings
Provides perspectives on the topic from a variety of data and analytics experts
Contains advice on how to work more effectively with your data scientists, including questions to ask to get the data you need
Provides tips and tricks to make persuasive data visualizations
Explains analytical terms and concepts, including regression analysis, correlation vs. causation, and statistical significance
Audience: General (non-quant) managers.
Announced first printing: 20,000
Laydown goal: 7,500
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How to use data for better decisions--from gathering the right information to making sense of the numbers to communicating your findings and getting buy-in.
Provides practical advice for managers on how to use data to make smarter decisions
Describes a three-step process for understanding data: gathering the right information, analyzing the numbers, and communicating your findings
Provides perspectives on the topic from a variety of data and analytics experts
Contains advice on how to work more effectively with your data scientists, including questions to ask to get the data you need
Provides tips and tricks to make persuasive data visualizations
Explains analytical terms and concepts, including regression analysis, correlation vs. causation, and statistical significance
Audience: General (non-quant) managers.
Announced first printing: 20,000
Laydown goal: 7,500
Provides practical advice for managers on how to use data to make smarter decisions
Describes a three-step process for understanding data: gathering the right information, analyzing the numbers, and communicating your findings
Provides perspectives on the topic from a variety of data and analytics experts
Contains advice on how to work more effectively with your data scientists, including questions to ask to get the data you need
Provides tips and tricks to make persuasive data visualizations
Explains analytical terms and concepts, including regression analysis, correlation vs. causation, and statistical significance
Audience: General (non-quant) managers.
Announced first printing: 20,000
Laydown goal: 7,500
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