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Predictive Analytics: Microsoft Excel 2016 von Ph.D. Carlberg, Conrad: Gebraucht
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Artikelmerkmale
- Artikelzustand
- Book Title
- Predictive Analytics: Microsoft Excel 2016
- Publication Date
- 2017-07-24
- Edition Number
- 2
- Pages
- 384
- ISBN
- 9780789758354
Über dieses Produkt
Product Identifiers
Publisher
Pearson Education
ISBN-10
0789758350
ISBN-13
9780789758354
eBay Product ID (ePID)
235717696
Product Key Features
Number of Pages
384 Pages
Language
English
Publication Name
Predictive Analytics : Microsoft® Excel 2016
Publication Year
2017
Subject
Desktop Applications / Spreadsheets, Statistics
Type
Textbook
Subject Area
Computers, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
20.8 Oz
Item Length
9.1 in
Item Width
7 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2017-941428
Illustrated
Yes
Table Of Content
1 Building a Collector 2 Linear Regression 3 Forecasting with Moving Averages 4 Forecasting a Time Series: Smoothing 5 More Advanced Smoothing Models 6 Forecasting a Time Series: Regression 7 Logistic Regression: The Basics 8 Logistic Regression: Further Issues 9 Multinomial Logistic Regression 10 Principal Components Analysis 11 Box-Jenkins ARIMA Models 12 Varimax Factor Rotation in Excel
Synopsis
EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS Now, you can apply cutting-edge predictive analytics techniques to help your business win-and you don't need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, 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 problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code-much of it open-source-to streamline especially 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 the "how" and "why" of using data to make better decisions, and choose the right technique for each problem 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 Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results, 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, Microsoft Excel MVP Conrad Carlberg shows readers 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. Readers will get an extensive collection of downloadable Excel workbooks that can be easily adapted to their own unique requirements, plus VBA code--much of it open-source--to streamline several of this book's most complex techniques. Step by step, readers build on Excel skills they already have, learning advanced techniques that can help them increase revenue, reduce costs, and improve productivity., EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win-and you don't need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, 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 problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code-much of it open-source-to streamline especially 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 the "how" and "why" of using data to make better decisions, and choose the right technique for each problem 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 Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results
LC Classification Number
HD30.27.C37 2017
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