Data science for business and decision making

Data science for business and decision making

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 e...

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Bibliographische Detailangaben
1. Verfasser: Fávero, Luiz Paulo Lopes (VerfasserIn)
Weitere Verfasser: Belfiore, Patrícia Prado (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: London, San Diego, Cambridge, MA, Oxford, UK Elsevier, AP Academic Press 2019
Schlagworte:
Statistische Methode > Mathematische Optimierung > Lineare Optimierung > Commercial statistics > Decision making > Statistical methods > Statistische Entscheidungsregel > Decision making - Statistical methods
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Beschreibung
Zusammenfassung: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®
Beschreibung:xvi, 1227 Seiten
Illustrationen, Diagramme, Karten
ISBN:9780128112168
978-0-12-811216-8