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Data Smart: Using Data Science to Transform Information into Insight

by John W. Foreman

Published by Wiley


Most people are approaching data science all wrong. Here's how to do it right.

Not to disillusion you, but data scientists are not mystical practitioners of magical arts. Data science is something you can do. Really. This book shows you the significant data science techniques, how they work, how to use them, and how they benefit your business, large or small. It's not about coding or database technologies. It's about turning raw data into insight you can act upon, and doing it as quickly and painlessly as possible.

Roll up your sleeves and let's get going.

Relax -- it's just a spreadsheet

Visit the companion website at www.wiley.com/go/datasmart to download spreadsheets for each chapter, and follow them as you learn about:

  • Artificial intelligence using the general linear model, ensemble methods, and naive Bayes
  • Clustering via k-means, spherical k-means, and graph modularity
  • Mathematical optimization, including non-linear programming and genetic algorithms
  • Working with time series data and forecasting with exponential smoothing
  • Using Monte Carlo simulation to quantify and address risk
  • Detecting outliers in single or multiple dimensions
  • Exploring the data-science-focused R language


pub date: 2013-11-04 | Paperback | 9781118661468