Predictive Analytics: Microsoft Excel

Kobo eBook available

read instantly on your Kobo or tablet.

buy the ebook now

Predictive Analytics: Microsoft Excel

by Conrad Carlberg

Pearson Education | July 2, 2012 | Trade Paperback

Not yet rated | write a review

Excel predictive analytics for serious data crunchers!

 

The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don't need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book!

 

Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS.

 

You'll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code-much of it open-source-to streamline several of this book's most complex techniques.

 

Step by step, you'll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you'll gain a powerful competitive advantage for your company and yourself.

 

   •   Learn both the "how" and "why" of using data to make better tactical decisions

   •   Choose the right analytics technique for each problem

   •   Use Excel to capture live real-time data from diverse sources, including third-party websites

   •   Use logistic regression to predict behaviors such as "will buy" versus "won't buy"

   •   Distinguish random data bounces from real, fundamental changes

   •   Forecast time series with smoothing and regression

   •   Construct more accurate predictions by using Solver to find maximum likelihood estimates

   •   Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation

   •   Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning

  

 

 

Format: Trade Paperback

Dimensions: 304 pages, 3.6 × 2.78 × 0.24 in

Published: July 2, 2012

Publisher: Pearson Education

Language: English

The following ISBNs are associated with this title:

ISBN - 10: 0789749416

ISBN - 13: 9780789749413

save
37%

In Stock Hurry, only 0 left! Not yet released

$27.71  ea

Online Price

$41.99 List Price

or, Used from $24.99

eGift this item

Give this item in the form of an eGift Card.

+ what is this?

This item is eligible for FREE SHIPPING on orders over $25.
See details

Easy, FREE returns. See details

Item can only be shipped in Canada

Downloads instantly to your kobo or other ereading device. See details

All available formats:

Check store inventory (prices may vary)

Reviews

– More About This Product –

Predictive Analytics: Microsoft Excel

by Conrad Carlberg

Format: Trade Paperback

Dimensions: 304 pages, 3.6 × 2.78 × 0.24 in

Published: July 2, 2012

Publisher: Pearson Education

Language: English

The following ISBNs are associated with this title:

ISBN - 10: 0789749416

ISBN - 13: 9780789749413

Table of Contents

Introduction Chapter 1 Building a Collector Planning an Approach     A Meaningful Variable     Identifying Sales Planning the Workbook Structure     Query Sheets     Summary Sheets     Snapshot Formulas     More Complicated Breakdowns The VBA Code     The DoItAgain Subroutine     The GetNewData Subroutine     The GetRank Function     The GetUnitsLeft Function     The RefreshSheets Subroutine The Analysis Sheets     Defining a Dynamic Range Name     Using the Dynamic Range Name Chapter 2 Linear Regression Correlation and Regression     Charting the Relationship     Calculating Pearson’s Correlation Coefficient     Correlation Is Not Causation Simple Regression     Array-Entering Formulas     Array-Entering LINEST() Multiple Regression     Creating the Composite Variable     Analyzing the Composite Variable Assumptions Made in Regression Analysis     Variability Using Excel’s Regression Tool     Accessing the Data Analysis Add-In     Running the Regression Tool Chapter 3 Forecasting with Moving Averages About Moving Averages     Signal and Noise     Smoothing Versus Tracking     Weig
read more read less

From the Publisher

Excel predictive analytics for serious data crunchers!

 

The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your business win. You don't need multimillion-dollar software: All the tools you need are available in Microsoft Excel, and all the knowledge and skills are right here, in this book!

 

Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real-world problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, showing how to gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS.

 

You'll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code-much of it open-source-to streamline several of this book's most complex techniques.

 

Step by step, you'll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you'll gain a powerful competitive advantage for your company and yourself.

 

   •   Learn both the "how" and "why" of using data to make better tactical decisions

   •   Choose the right analytics technique for each problem

   •   Use Excel to capture live real-time data from diverse sources, including third-party websites

   •   Use logistic regression to predict behaviors such as "will buy" versus "won't buy"

   •   Distinguish random data bounces from real, fundamental changes

   •   Forecast time series with smoothing and regression

   •   Construct more accurate predictions by using Solver to find maximum likelihood estimates

   •   Manage huge numbers of variables and enormous datasets with principal components analysis and Varimax factor rotation

   •   Apply ARIMA (Box-Jenkins) techniques to build better forecasts and understand their meaning

  

 

 

About the Author

Counting conservatively, this is Conrad Carlberg's eleventh book about quantitative analysis using Microsoft Excel, which he still regards with a mix of awe and exasperation. A look back at the "About the Author" paragraph in Carlberg's first book, published in 1995, shows that the only word that remains accurate is "He." Scary.

Item not added

This item is not available to order at this time.

See used copies from 00.00
  • My Gift List
  • My Wish List
  • Shopping Cart