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 (R), and IBM SPSS Statistics Software
(R).
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