Bringing data science to the people.

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. Seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. 

And in Data Smart, MailChimp's Chief Scientist, John Foreman, will show you how that’s done within the hype-free, comfortable environment of a spreadsheet. 

Each chapter covers a different technique in a spreadsheet so you can follow along. 

 Topics include:

  • Mathematical optimization, including non-linear programming and genetic algorithms 
  • Clustering via k-means, spherical k-means, and graph modularity 
  • Data mining in graphs, such as outlier detection 
  • Supervised AI through logistic regression, ensemble models, and bag-of-words models 
  • Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation 
  • Moving from spreadsheets into the R programming language
What folks are Tweeting about this book. (You know if it's on Twitter, it has to be true.)