A Guide On Data Analysis


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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)

Author: Harvard Business Review

language: en

Publisher: Harvard Business Press

Release Date: 2018-03-13


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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 measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes

A Guide on Data Analysis


A Guide on Data Analysis

Author: Mike Nguyen

language: en

Publisher: Bookdown

Release Date: 2020-11-18


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Embark on a captivating journey through the world of data analysis with "A Guide on Data Analysis." This engaging, user-friendly, and free guide offers a comprehensive approach to mastering the essentials of statistics and data science, perfect for beginners and those looking to deepen their understanding. Whether you're new to the field or simply wish to enhance your skills, this free resource caters to your needs. Although the author's primary interest is in marketing, the principles and methods shared can be applied across a range of disciplines that involve scientific methods and data analysis.

Head First Data Analysis


Head First Data Analysis

Author: Michael Milton

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2009-07-24


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A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.