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Oil at $75 as Iran sanction fears mount
Brent crude hits its highest level in more than three years as production cuts reduce stockpiles.


Vincent Bolloré: French tycoon held over 'Africa corruption'
Vincent Bolloré is questioned by police near Paris over contracts to run ports in Guinea and Togo.


Google owner Alphabet sees profits soar
Net earnings jump almost 73% in the first quarter as revenues from internet advertising climb.


China sexist adverts: Tech firms apologise after damning report
Some adverts offered "men only" jobs while others wanted "trim" women applicants, Human Rights Watch found.


UK government borrowing lowest for 11 years
Government borrowing fell by more than expected to £42.6bn for the past financial year.



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We Don’t Need No Education
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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