Predictive Analytics: Microsoft Excel

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Predictive Analytics: Microsoft Excel

by Conrad Carlberg

Pearson Education | July 2, 2012 | Trade Paperback

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Excel predictive analytics for serious data crunchers!

 

The movieMoneyballmade predictive analytics famous: Now you can apply the same techniques to helpyourbusiness 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, 9 × 6.9 × 0.9 in

Published: July 2, 2012

Publisher: Pearson Education

Language: English

The following ISBNs are associated with this title:

ISBN - 10: 0789749416

ISBN - 13: 9780789749413

Found in: Statistics

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– More About This Product –

Predictive Analytics: Microsoft Excel

Predictive Analytics: Microsoft Excel

by Conrad Carlberg

Format: Trade Paperback

Dimensions: 304 pages, 9 × 6.9 × 0.9 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

IntroductionChapter 1Building a CollectorPlanning an Approach    A Meaningful Variable    Identifying SalesPlanning the Workbook Structure    Query Sheets    Summary Sheets    Snapshot Formulas    More Complicated BreakdownsThe VBA Code    The DoItAgain Subroutine    The GetNewData Subroutine    The GetRank Function    The GetUnitsLeft Function    The RefreshSheets SubroutineThe Analysis Sheets    Defining a Dynamic Range Name    Using the Dynamic Range NameChapter 2Linear RegressionCorrelation and Regression    Charting the Relationship    Calculating Pearson's Correlation Coefficient    Correlation Is Not CausationSimple Regression    Array-Entering Formulas    Array-Entering LINEST()Multiple Regression    Creating the Composite Variable    Analyzing the Composite VariableAssumptions Made in Regression Analysis    VariabilityUsing Excel's Regression Tool    Accessing the Data Analysis Add-In    Running the Regression ToolChapter 3Forecasting with Moving AveragesAbout Moving Averages    Signal and Noise    Smoothing Versus Tracking    Weighted and Unweighted Moving AveragesCriteria for Judging Moving Averages    Mean Absolute Deviation    Least Squares    Using Least Squares to Compare Moving AveragesGetting Moving Averages Automatically    Using the Moving Average ToolChapter 4Forecasting a Time Series: SmoothingExponential Smoothing: The Basic IdeaWhy “Exponential Smoothing?Using Excel's Exponential Smoothing Tool    Understanding the Exponential Smoothing Dialog BoxChoosi
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From the Publisher

Excel predictive analytics for serious data crunchers!

 

The movieMoneyballmade predictive analytics famous: Now you can apply the same techniques to helpyourbusiness 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.