So Much Data So Little Math: How to Predict Data Trends, 5 Easy Profitable Methods

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University Press of America, Jan 1, 2000 - Education - 171 pages
So Much Data So Little Math is geared for the business community and for employees who are trying to interpret statistics without a background in formal mathematics. The book, relying on the availability of modern software rather than on the reader's math skills, puts trend analysis within reach of everyone. Through a simple method centering on case studies of ordinary business owners, May provides a simple way to learn how to model data. This highly practical text teaches five methods of modeling: regression, correlation, spreadsheets, database systems and neural networks. A must-read for any successful entrepreneur, So Much Data So Little Math will also be of great interest to researchers, business students and their instructors.

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From Data To Model From Model To Plan
Levels Of Data Analysis
Math Anxiety

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About the author (2000)

William D. May is a Senior Scientist with the Central Intelligence Agency and an Adjunct Professor of Computer Science at Virginia Tech.

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