• Combines statistics and operations research modeling to teach the principles of business analytics


• Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business


• Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, andIBM SPSS Statistics Software®.

"Data Science for Business and Decision Makingbrings together the key topics required as the foundation for understanding and applying analytics for decision making. The authors have carefully selected the topics, and each one is clearly explained, described, and reinforced with a diverse set of exercises."--Rahul Saxena, Cobot Systems

"Data Science for Business and Decision Makingprovides a thorough essay about statistical methods which are commonly used in business without requiring a strong mathematical background. The presentation isrigorous and accessible thanks to a large number of examples that are developed step-by-step. The illustrationsfeature various software and the proposed exercises are particularly helpful for students and practitioners." --Francesco Bartolucci, University of Perugia