Download Ebook Predictive Analytics: Microsoft® Excel 2016 (2nd Edition), by Conrad Carlberg
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Predictive Analytics: Microsoft® Excel 2016 (2nd Edition), by Conrad Carlberg
Download Ebook Predictive Analytics: Microsoft® Excel 2016 (2nd Edition), by Conrad Carlberg
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About the Author
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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Product details
Paperback: 384 pages
Publisher: Que Publishing; 2 edition (August 3, 2017)
Language: English
ISBN-10: 0789758350
ISBN-13: 978-0789758354
Product Dimensions:
7 x 1.1 x 9.1 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Average Customer Review:
1.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#352,814 in Books (See Top 100 in Books)
This is really a disappointment. Even though the copyright says "2018", you would swear it was "2008." All the material seems sooooo dated and sooo Office 2007. Nothing is mentioned about the Forecast Sheet function in Excel 2018. The Power Query/Pivot gets a small note mention and that is all. And probably 25-30% of the book is devoted to how to use Excel with the statistical software, R. (If you don't want to use R, or care to get into statistics that deep, you're just out of luck.) This is exactly like reading a statistics textbook. It sorely needs more real-life examples so you can take the examples and apply them to your own work, but they are so few (and so hard to follow) they are almost worthless. Usually I can find some redeeming value in any book I buy, and there might be some value in trying to predict purchase behavior. But even then, the example is buried under a ton of statistical verbiage. (I do have a graduate degree in statistics, so I am familiar with the techniques described. For somebody without that background, this book would be a real killer.)
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