Download PDF Predictive Analytics: Microsoft Excel, by Conrad Carlberg
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Predictive Analytics: Microsoft Excel, by Conrad Carlberg
Download PDF Predictive Analytics: Microsoft Excel, by Conrad Carlberg
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Excel predictive analytics for serious data crunchers!
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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!
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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.
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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.
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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.
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�� •�� 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
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- Sales Rank: #448314 in Books
- Published on: 2012-07-12
- Released on: 2013-03-15
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .90" w x 6.90" l, 1.05 pounds
- Binding: Paperback
- 304 pages
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.
Most helpful customer reviews
20 of 21 people found the following review helpful.
Nice Integration of Excel and Analytics
By Adam W Phoenix
I thought the author did a great job presenting real world examples and techniques. It was nice to seethis much detail while highlighting some of the more advanced options in Excel. Both average and advanced Excel users will appreciate and learn something new in this book. I found the level of detail in the explanation of the statistical calculations appropriate for the assumed audience. This is not an intro to statistics book and I think more users with more experience and a statistical background will appreciate being able to jump right into the core intent of the book and how to leverage Excel as the primary tool.
14 of 14 people found the following review helpful.
From 0 to competent in 300 pages!
By Joseph Johnson
As an inexperienced Demand Analyst I scrambled to understand the academic literature on forecasting. I was pretty swamped and did not know where to start until I found this book. Carlberg has a way of explaining very complex issues in a way that a beginner can grasp and an intermediate or expert can learn from. His book is funny, intuitive, and really hits home as to where to start when diving into predictive analytics. Although I've read through the book and worked through several of the examples, I keep the book close at hand for a quick reference. Great, great book!
28 of 32 people found the following review helpful.
Excel:Predictive Analytics - For Math inclined, Precise, comprehensive, but easy to follow.
By rrdigitalbookworm
Excels [use of] Predictive Analytics is a book true to its meaning taking a once complex understanding of powerful statistics equations and applying it through Excel with a meaningful and visual understanding.
Author Conrad Carlberg's book strikes the most effective use of quantitative analysis using forcasting analytics
which to some without statistical analysis background might seem a bit foreign. For those primed and
willing to take the next leap into forcasting predictive analytics, it is a remarkable use of statistics put to its true meaning. The author puts forth an understanding to derive strong probabilities to make powerfully informed business decisions.
For example, Carlberg's book explains a Logistic Regression in a perfected simplistic steps using logical but simple equations. For example he does so by stepping through and analyzing a Purchase/No Purchase preditive analysis(using dicotomous variable) behavior. He concludes his explanation using probability of likelihood stepping through a series of complex formulas (Autocorrelation Formulas(ACFs), Partials(PACFs), Time Series Regression, visually outputting them into barchart and spot graph for analysis and interpretation with all original input calcs handled by Excel. Formulas which took many hours to compute are whittled down to become mere 'program executed tools' of the trade for quick accurate business decision making. There is complete truth to the mathematical elements as he explains it with simplistic meaningful and comprehensible language (again with true examples to follow if you will). A true mathematician at heart. Thank you Mr. Carlberg. You have brought another great myth in 'forecasting statistical analysis' to the forefront and shone light of its true meaning to the masses. I would recommend this reading to those who wish to have another great angle at Predictive Analytics. CEOs, Managers, Logistics Supervisors, I highly recommend this reading. It is truly effective business building and predictive operations material. One which trains big picture analysis for growing a business. Edward Deming (October 14, 1900 - December 20, 1993) would be proud. A+++ informative reading for the business owner. 5/5 Highly recommended.
RERJR
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