Conrad Carlberg's More Predictive Analytics: Microsoft Excel PDF

By Conrad Carlberg

ISBN-10: 0789756145

ISBN-13: 9780789756145

 

Accurate, functional Excel predictive research: strong smoothing innovations for severe info crunchers!

 

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

 

Carlberg is going past his highly-praised Predictive Analytics, introducing confirmed equipment for growing extra particular, actionable forecasts. You’ll how to expect what shoppers will spend on a given product subsequent 12 months… undertaking what percentage sufferers your health center will admit subsequent sector… tease out the results of seasonality (or styles that recur over an afternoon, 12 months, or the other period)… distinguish genuine developments from mere “noise.”

 

Drawing on greater than two decades of expertise, Carlberg is helping you grasp robust options corresponding to autocorrelation, differencing, Holt-Winters, backcasting, polynomial regression, exponential smoothing, and multiplicative modeling.

 

Step through step, you’ll how one can utilize integrated Excel instruments to achieve a long way deeper insights out of your facts. that can assist you recover effects swifter, Carlberg presents downloadable Excel workbooks you could simply adapt on your personal projects.

 

If you’re able to make larger forecasts for higher decision-making, you’re prepared for More Predictive Analytics.

  • Discover while and the way to exploit smoothing rather than regression
  • Test your information for developments and seasonality
  • Compare units of observations with the autocorrelation function
  • Analyze trended time sequence with Excel’s Solver and research ToolPak
  • Use Holt's linear exponential smoothing to forecast the subsequent point and pattern, and expand forecasts additional into the future
  • Initialize your forecasts with an exceptional baseline
  • Improve your preliminary forecasts with backcasting and optimization
  • Fully mirror easy or complicated seasonal styles on your forecasts
  • Account for unexpected, unforeseen adjustments in tendencies, from fads to new viral infections
  • Use variety names to regulate advanced forecasting versions extra easily
  • Compare additive and multiplicative versions, and use the correct version for every task

 

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More Predictive Analytics: Microsoft Excel by Conrad Carlberg


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