Data Mining for Business Analytics is used at over 560 universities and colleges, and has been translated into Korean and Chinese. It has been adapted for four software environments (R, Python, Excel and JMP) and, since it was first published in 2007, has been through 11 editions.
Popular with practitioners, researchers and students, it presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. This book serves to anchor the Statistics.com curriculum in predictive analytics, which was developed and is taught by the author team.
The book was co-authored by Galit Shmueli, Peter Bruce, Nitin R. Patel, Inbal Yahav, and Peter Gedeck. This author team teaches 13 courses at The Institute for Statistics Education at Statistics.com (an Elder Research Company).
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