If you read this blog, you’d have a good idea what the book is about. I analyze claims made in the media that are supported by analyses of data. I show you how I dissect these claims to decide whether they are credible, or they are bogus.
The ability to analyze and interpret data analyses will be a critical skill in the world of Big Data. So far, the conversation around Big Data is focused around the collection and processing of mountains of data. The real challenge of Big Data is the proliferation of data analyses: it will be a confusing world of claims and counterclaims.
The book is arranged topically, with two chapters on social data, three on marketing use of data, two on economic indicators, and one on pop culture. I also include two vignettes on what “data scientists” do, one of which first appeared on this blog.
Numbersense is available on Kindle, and in stores. In addition to endorsements by Tom Davenport, Avanish Kaushik, John Sall, and Eric Siegel, a few early reviews have appeared: Mike Kruger... Franz Dill... Andrew Gelman... Student of Parables... Eustacia Tan... Nick
Please tell your friends and colleagues about Numbersense. You can really help by writing a review on Amazon.
PS. With the new book, I have relaunched the book blog, with the name "Big Data, Plainly Spoken." The links remain unchanged.