Data science for business and decision making

Luiz Paulo Fávero (School of Economics, Business and Accounting, University of São Paulo, São Paulo, SP, Brazil), Patrícia Belfiore (Center of Engineering, Modeling and Applied Social Sciences, Management Engineering, Federal University of ABC, São Bernardo de Campo, SP, Brazil)

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®, and IBM SPSS Statistics Software®

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Year of publication:	[2019]
Authors:	Fávero, Luiz Paulo Lopes ; Belfiore, Patrícia Prado
Publisher:	[2019]: London : Elsevier, AP Academic Press
Subject:	Statistische Methode \| Statistical method \| Mathematische Optimierung \| Mathematical programming \| Lineare Optimierung \| Linear programming \| Statistische Entscheidungsregel
Description of contents:	Table of Contents [gbv.de]

Extent:	xvi, 1227 Seiten Illustrationen, Diagramme, Karten
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-0-12-811216-8
Classification:	Methoden und Techniken der Betriebswirtschaft
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012384907