Book Image

Data Smart

By : John W. Foreman
Book Image

Data Smart

By: John W. Foreman

Overview of this book

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, math and the magic, behind big data.
Table of Contents (18 chapters)
Free Chapter
1
Cover
2
Credits
3
About the Author
4
About the Technical Editors
5
Acknowledgments
18
End User License Agreement

Credits

Executive Editor
Carol Long

Senior Project Editor
Kevin Kent

Technical Editors
Greg Jennings
Evan Miller

Production Editor
Christine Mugnolo

Copy Editor
Kezia Endsley

Editorial Manager
Mary Beth Wakefield

Freelancer Editorial Manager
Rosemarie Graham

Associate Director of Marketing
David Mayhew

Marketing Manager
Ashley Zurcher

Business Manager
Amy Knies

Vice President and Executive Group Publisher
Richard Swadley

Associate Publisher
Jim Minatel

Project Coordinator, Cover
Katie Crocker

Proofreader
Nancy Carrasco

Indexer
Johnna van Hoose Dinse

Cover Image
Courtesy of John W. Foreman

Cover Designer
Ryan Sneed