More Predictive Analytics: Microsoft Excel

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9780789756145: More Predictive Analytics: Microsoft Excel

Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers!

 

In More Predictive Analytics, Microsoft Excel® MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won’t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial.

 

Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You’ll learn how to predict what customers will spend on a given product next year... project how many patients your hospital will admit next quarter... tease out the effects of seasonality (or patterns that recur over a day, year, or any other period)... distinguish real trends from mere “noise.”

 

Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling.

 

Step by step, you’ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects.

 

If you’re ready to make better forecasts for better decision-making, you’re ready for More Predictive Analytics.

  • Discover when and how to use smoothing instead of regression
  • Test your data for trends and seasonality
  • Compare sets of observations with the autocorrelation function
  • Analyze trended time series with Excel’s Solver and Analysis ToolPak
  • Use Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future
  • Initialize your forecasts with a solid baseline
  • Improve your initial forecasts with backcasting and optimization
  • Fully reflect simple or complex seasonal patterns in your forecasts
  • Account for sudden, unexpected changes in trends, from fads to new viral infections
  • Use range names to control complex forecasting models more easily
  • Compare additive and multiplicative models, and use the right model for each task

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Carlberg, Conrad
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Carlberg, Conrad
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Description du livre Pearson Education (US), United States, 2015. Paperback. État : New. Language: English . Brand New Book. Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel(R) MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You ll learn how to predict what customers will spend on a given product next year.project how many patients your hospital will admit next quarter.tease out the effects of seasonality (or patterns that recur over a day, year, or any other period).distinguish real trends from mere noise. Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you re ready to make better forecasts for better decision-making, you re ready for More Predictive Analytics. * Discover when and how to use smoothing instead of regression * Test your data for trends and seasonality * Compare sets of observations with the autocorrelation function * Analyze trended time series with Excel s Solver and Analysis ToolPak * Use Holt s linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future * Initialize your forecasts with a solid baseline * Improve your initial forecasts with backcasting and optimization * Fully reflect simple or complex seasonal patterns in your forecasts * Account for sudden, unexpected changes in trends, from fads to new viral infections * Use range names to control complex forecasting models more easily * Compare additive and multiplicative models, and use the right model for each task. N° de réf. du libraire AAC9780789756145

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Conrad George Carlberg
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Description du livre Pearson Education (US), United States, 2015. Paperback. État : New. Language: English . Brand New Book. Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel(R) MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You ll learn how to predict what customers will spend on a given product next year.project how many patients your hospital will admit next quarter.tease out the effects of seasonality (or patterns that recur over a day, year, or any other period).distinguish real trends from mere noise. Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you re ready to make better forecasts for better decision-making, you re ready for More Predictive Analytics. * Discover when and how to use smoothing instead of regression * Test your data for trends and seasonality * Compare sets of observations with the autocorrelation function * Analyze trended time series with Excel s Solver and Analysis ToolPak * Use Holt s linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future * Initialize your forecasts with a solid baseline * Improve your initial forecasts with backcasting and optimization * Fully reflect simple or complex seasonal patterns in your forecasts * Account for sudden, unexpected changes in trends, from fads to new viral infections * Use range names to control complex forecasting models more easily * Compare additive and multiplicative models, and use the right model for each task. N° de réf. du libraire AAC9780789756145

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Description du livre Pearson Education (US). Paperback. État : new. BRAND NEW, More Predictive Analytics: Microsoft Excel, Conrad George Carlberg, Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel(R) MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won't have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You'll learn how to predict what customers will spend on a given product next year.project how many patients your hospital will admit next quarter.tease out the effects of seasonality (or patterns that recur over a day, year, or any other period).distinguish real trends from mere "noise." Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you'll learn how to make the most of built-in Excel tools to gain far deeper insights from your data. To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you're ready to make better forecasts for better decision-making, you're ready for More Predictive Analytics. * Discover when and how to use smoothing instead of regression * Test your data for trends and seasonality * Compare sets of observations with the autocorrelation function * Analyze trended time series with Excel's Solver and Analysis ToolPak * Use Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future * Initialize your forecasts with a solid baseline * Improve your initial forecasts with backcasting and optimization * Fully reflect simple or complex seasonal patterns in your forecasts * Account for sudden, unexpected changes in trends, from fads to new viral infections * Use range names to control complex forecasting models more easily * Compare additive and multiplicative models, and use the right model for each task. N° de réf. du libraire B9780789756145

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Conrad George Carlberg
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Description du livre Pearson Education (US), United States, 2015. Paperback. État : New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Accurate, practical Excel predictive analysis: powerful smoothing techniques for serious data crunchers! In More Predictive Analytics, Microsoft Excel(R) MVP Conrad Carlberg shows how to use intuitive smoothing techniques to make remarkably accurate predictions. You won t have to write a line of code--all you need is Excel and this all-new, crystal-clear tutorial. Carlberg goes beyond his highly-praised Predictive Analytics, introducing proven methods for creating more specific, actionable forecasts. You ll learn how to predict what customers will spend on a given product next year.project how many patients your hospital will admit next quarter.tease out the effects of seasonality (or patterns that recur over a day, year, or any other period).distinguish real trends from mere noise. Drawing on more than 20 years of experience, Carlberg helps you master powerful techniques such as autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling. Step by step, you ll learn how to make the most of built-in Excel tools to gain far deeper insights from your data.To help you get better results faster, Carlberg provides downloadable Excel workbooks you can easily adapt for your own projects. If you re ready to make better forecasts for better decision-making, you re ready for More Predictive Analytics. * Discover when and how to use smoothing instead of regression * Test your data for trends and seasonality * Compare sets of observations with the autocorrelation function * Analyze trended time series with Excel s Solver and Analysis ToolPak * Use Holt s linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future * Initialize your forecasts with a solid baseline * Improve your initial forecasts with backcasting and optimization * Fully reflect simple or complex seasonal patterns in your forecasts * Account for sudden, unexpected changes in trends, from fads to new viral infections * Use range names to control complex forecasting models more easily * Compare additive and multiplicative models, and use the right model for each task. N° de réf. du libraire BTE9780789756145

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ISBN 10 : 0789756145 ISBN 13 : 9780789756145
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