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Fundamentals of Predictive Analytics with JMP, Second Edition pdf offers a fresh look at what would have otherwise been a jaded topic. The author of Fundamentals of Predictive Analytics with JMP, Second Edition pdf book draws on a vast knowledge bank of insights and experience to execute this work.

Predictive Analytics PDF Free Download booksWritten for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of
Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis.

First, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP®.

Using JMP® 13 and JMP® 13 Pro, this book offers the following new and enhanced features in an example-driven format:

  • an add-in for Microsoft Excel
  • Graph Builder
  • dirty data
  • visualization
  • regression
  • ANOVA
  • logistic regression
  • principal component analysis
  • LASSO
  • elastic net
  • cluster analysis
  • decision trees
  • k-nearest neighbors
  • neural networks
  • bootstrap forests
  • boosted trees
  • text mining
  • association rules
  • model comparison

With today’s emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis.

This book is part of the SAS Press program.

Publisher ‏ : ‎ SAS Institute; 2nd edition (December 15, 2016)
Language ‏ : ‎ English
Paperback ‏ : ‎ 406 pages
ISBN-10 ‏ : ‎ 1629598569
ISBN-13 ‏ : ‎ 978-1629598567
Item Weight ‏ : ‎ 1.53 pounds
Dimensions ‏ : ‎ 7.5 x 0.92 x 9.25 inches

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About the Author: Fundamentals of Predictive Analytics with JMP, Second Edition PDF

Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph’s University in Philadelphia, PA. Before joining the faculty in 1997, he was a professor at Boston University, an operations research analyst at the U.S. Food and Drug Administration, and an independent consultant. His current primary interests include multiple criteria decision making, data envelopment analysis, data visualization, data mining, and modeling in general. Klimberg was the 2007 recipient of the Tengelmann Award for excellence in scholarship, teaching, and research. He received his PhD from Johns Hopkins University and his MS from George Washington University.

B. D. McCullough, PhD, is a professor at the LeBow College of Business at Drexel University in Philadelphia, PA. Before joining Drexel, he was a senior economist at the Federal Communications Commission and an assistant professor at Fordham University. His research interests include applied econometrics and time series analysis, statistical and econometrics software accuracy, research replicability, and data mining. He received his PhD from The University of Texas at Austin.

Predictive Analytics

Author : Conrad Carlberg
File Size : 90.98 MB
Format : PDF, Kindle
Download : 936
Read : 1000
Download »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