You don't need to own a Kindle device to enjoy Kindle books. Download one of our FREE Kindle apps to start reading Kindle books on all your devices.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Buying Options

Kindle Price: $38.95
includes tax, if applicable

These promotions will be applied to this item:

Some promotions may be combined; others are not eligible to be combined with other offers. For details, please see the Terms & Conditions associated with these promotions.

Deliver to your Kindle or other device

Deliver to your Kindle or other device

<Embed>
Data Smart: Using Data Science to Transform Information into Insight by [Foreman, John W.]
Kindle App Ad

Data Smart: Using Data Science to Transform Information into Insight 1st Edition, Kindle Edition


See all 5 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle
$38.95

Length: 409 pages Word Wise: Enabled Enhanced Typesetting: Enabled
Page Flip: Enabled Language: English

Browse our most popular books based on sales
Find your next great read. Shop best selling books

Product description

Product Description

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. 

Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. 

But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.

 Each chapter will cover a different technique in a spreadsheet so you can follow along:

  • 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

You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

From the Back Cover

"Data Smart makes modern statistic methods and algorithms understandable and easy to implement. Slogging through textbooks and academic papers is no longer required!"
Patrick Crosby, Founder of StatHat & first CTO at OkCupid

"When Mr. Foreman interviewed for a job at my company, he arrived dressed in a 'Kentucky Colonel' kind of suit and spoke about nonsensical things like barbecue, lasers, and orange juice pulp. Then, he explained how to de-mystify and solve just about any complex 'big data' problem in our company with simple spreadsheets. No server clusters, mainframes, or Hadoop-a-ma-jigs. Just Excel. I hired him on the spot. After reading this book, you too will learn how to use math and basic spreadsheet formulas to improve your business or, at the very least, how to trick senior executives into hiring you as their data scientist."
Ben Chestnut, Founder & CEO of MailChimp

"You need a John Foreman on your analytics team. But if you can't have John, then reading this book is the next best thing."
Patrick Lennon, Director of Analytics, The Coca-Cola Company

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

Product details

  • Format: Kindle Edition
  • File Size: 83683 KB
  • Print Length: 409 pages
  • Publisher: Wiley; 1 edition (31 October 2013)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B00F0WRXI0
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #147,317 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
click to open popover

No customer reviews


Review this product

Share your thoughts with other customers

Most helpful customer reviews on Amazon.com

Amazon.com: 4.6 out of 5 stars 139 reviews
Lou Gutnicki
4.0 out of 5 starsGreat Book, Lousy References
2 June 2016 - Published on Amazon.com
Verified Purchase
132 people found this helpful.
Evan Miller
5.0 out of 5 starsInsightful, practical, and colorful. Perspective from a biased reviewer.
6 November 2013 - Published on Amazon.com
Verified Purchase
254 people found this helpful.