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

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

By: William D. May (author)Paperback

Up to 2 WeeksUsually despatched within 2 weeks


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.

About Author

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


Chapter 1 Acknowledgements Chapter 2 Preface Chapter 3 Data Analysis Chapter 4 From Data to Model, From Model to Plan Chapter 5 Levels of Data Analysis Chapter 6 Math Anxiety Chapter 7 Statistics Chapter 8 The Essential Spreadsheet Chapter 9 Calculus Chapter 10 Neural Networks for Beginners Chapter 11 Basic Logic Chapter 12 Mining Databases Chapter 13 Lost in a Large Corporation Chapter 14 Real-World Applications Chapter 15 Bibliography Chapter 16 Index Chapter 17 Author Biography

Product Details

  • ISBN13: 9780761816409
  • Format: Paperback
  • Number Of Pages: 192
  • ID: 9780761816409
  • weight: 785
  • ISBN10: 0761816402

Delivery Information

  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
  • Courier Delivery: Yes
  • Store Delivery: Yes

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