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Description - Predictive Analytics by Conrad Carlberg

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.

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Book Details

ISBN: 9780789758354
ISBN-10: 0789758350
Format: Paperback / softback
(220mm x 170mm x 20mm)
Pages: 384
Imprint: Que Corporation,U.S.
Publisher: Pearson Education (US)
Publish Date: 24-Jul-2017
Country of Publication: United States

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Author Biography - Conrad Carlberg

Conrad Carlberg (www.conradcarlberg.com) is a nationally recognized expert on quantitative analysis and on data analysis and management applications such as Microsoft Excel, SAS, and Oracle. He holds a Ph.D. in statistics from the University of Colorado and is a many-time recipient of Microsoft's Excel MVP designation. Carlberg is a Southern California native. After college he moved to Colorado, where he worked for a succession of startups and attended graduate school. He spent two years in the Middle East, teaching computer science and dodging surly camels. After finishing graduate school, Carlberg worked at US West (a Baby Bell) in product management and at Motorola. In 1995, he started a small consulting business that provides design and analysis services to companies that want to guide their business decisions by means of quantitative analysis--approaches that today we group under the term "analytics." He enjoys writing about those techniques and, in particular, how to carry them out using the world's most popular numeric analysis application, Microsoft Excel.

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