Data science for business and decision making

dc.contributor.author	Fa'vero, Luiz Paulo
dc.contributor.author	Belfiore, Patrı'cia
dc.date.issued	2019
dc.identifier.isbn	978-0-12-811216-8
dc.identifier.uri	https://thuvienso.hoasen.edu.vn/handle/123456789/11632
dc.description.abstract	This book 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.
dc.format	1227 p. : ill.
dc.language.iso	en
dc.publisher	Academic Press is an imprint of Elsevier
dc.subject	Data science
dc.subject	Data processing
dc.subject	Business
dc.subject	Decision making
dc.title	Data science for business and decision making
dc.type	Book