Predictive Analytics: Microsoft Excel

Conrad Carlberg

ISBN 10: 0789749416 / ISBN 13: 9780789749413

Published by Pearson Education (US), United States, 2012

About this Item

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 dont 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. Youll get an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA codemuch of it open-sourceto streamline several of this books most complex techniques. Step by step, youll 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, youll 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 wont 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Seller Inventory # GOR005958829

Bibliographic Details

• Title: Predictive Analytics: Microsoft Excel
• Publisher: Pearson Education (US), United States
• Publication Date: 2012
• Language: English
• ISBN 10: 0789749416
• ISBN 13: 9780789749413
• Binding: Paperback
• Condition: Very Good
• Weight: 476 grams

About this title

Synopsis

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.