Data Smart: Using Data Science to Transform Information into Insight
- 5h 45m
- John W. Foreman
- John Wiley & Sons (US)
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.
About the Author
John W. Foreman is Chief Data Scientist for MailChimp.com, where he leads a data science product development effort called the Email Genome Project. As an analytics consultant, John has created data science solutions for The Coca-Cola Company, Royal Caribbean International, Intercontinental Hotels Group, Dell, the Department of Defense, the IRS, and the FBI.
In this Book
Everything You Ever Needed to Know about Spreadsheets but Were Too Afraid to Ask
Cluster Analysis Part I: Using K-Means to Segment Your Customer Base
Naïve Bayes and the Incredible Lightness of Being an Idiot
Optimization Modeling: Because That "Fresh Squeezed" Orange Juice Ain't Gonna Blend Itself
Cluster Analysis Part II: Network Graphs and Community Detection
The Granddaddy of Supervised Artificial Intelligence—Regression
Ensemble Models: A Whole Lot of Bad Pizza
Forecasting: Breathe Easy; You Can't Win
Outlier Detection: Just Because They're Odd Doesn't Mean They're Unimportant
Moving from Spreadsheets into R