Data Smart: Using Data Science to Transform Information into Insight

Data Smart: Using Data Science to Transform Information into Insight
  • Paperback: 432 pages
  • Publisher: WOW! eBook; 1st edition (November 4, 2013)
  • Language: English
  • ISBN-10: 111866146X
  • ISBN-13: 978-1118661468
eBook Description:

Data Smart: Using Data Science to Transform Information into Insight

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. Data Science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart: Using Data Science to Transform Information into Insight, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet.

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. 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.

Data Science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart: Using Data Science to Transform Information into Insight, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet. 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.

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

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

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. Data Science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart: Using Data Science to Transform Information into Insight, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet.

Evaluate & Comment:

Overall rating
  • 5 Starts
    0
  • 4 Starts
    0
  • 3 Starts
    0
  • 2 Starts
    0
  • 1 Starts
    0

Top