Deze website maakt gebruik van cookies. Klik hier voor meer informatie.X sluit
Uitgebreid zoeken
Boek

Data Science for Business and Decision Making

Data Science for Business and Decision Making - Belfiore, Patrcia; Fvero, Luiz Paulo - ISBN: 9780128112168
Prijs: € 190,75
Levertijd: onbekend
Bindwijze: Boek, Paperback (03-06-2019)
Genre: Accountancy en administratie
Boekenliefde.nl:
Add to cart

Beschrijving

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.



  • 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

Details

Titel: Data Science for Business and Decision Making
auteur: Belfiore, Patrcia; Fvero, Luiz Paulo
Mediatype: Boek
Bindwijze: Paperback
Taal: Engels
Aantal pagina's: 1240
Uitgever: Elsevier Science
Plaats van publicatie: 03
Publicatiedatum: 2019-06-03
NUR: Accountancy en administratie
Afmetingen: 235 x 191
ISBN/ISBN13: 9780128112168
Intern nummer: 41100055

Biografie (woord)

PATRICIA BELFIORE is a Professor at the Federal University of ABC (UFABC), where she teaches Statistics, Operational Research, Production Planning and Control, and Logistics to Management Engineering students. She is a Master in Electrical Engineering and a PhD in Production Engineering from the Polytechnic School of the University of Sao Paulo (EPUSP). She has a Post-Doctorate degree in Operational Research and Logistics from Columbia University in New York. She takes part in several research and consultancy projects in the fields of modelling, optimization and logistics. She has taught Operational Research, Multivariate Data Analysis and Operations Management and Logistics to undergraduate and Master s students at FEI University Center and at the Arts, Sciences and Humanities College of the University of Sao Paulo (EACH/USP). Her main research interests are in the fields of modelling, combinatorial optimization and heuristics for decision making. She is the author of the following books Data Analysis Manual: Statistics and Multivariate Modelling with Excel, SPSS and Stata, Statistics Applied to Business Administration, Accounting and Economics with Excel and SPSS, Data Analysis: Multivariate Exploratory Techniques with SPSS and Stata, Quantitative Methods with Stata, Data Analysis: Multivariate Modelling for Decision Making, Operational Research for Engineering courses and Operational Research for Business Administration, Accounting and Economics courses, all of them published by Elsevier. She is the author of articles published in several national and international conferences and in scientific journals, including the European Journal of Operational Research, Computers & Industrial Engineering, Central European Journal of Operations Research, International Journal of Management, Production, Management & Production, Transportation, Economic Studies, among others. She is a managing-partner at Montvero Consulting and Training and a consultant to companies in the fields of Data Science, Business Analytics and Artificial Intelligence, and Process Simulation and Optimization, with the use of Machine Learning, Data Analysis and Operational Research tools, such as, R, Stata, IBM SPSS and ProModel.

PATRCIA BELFIORE professora da Universidade Federal do ABC (UFABC), onde leciona disciplinas de Estatstica, Pesquisa Operacional, Planejamento e Controle de Produo e Logstica para o curso de Engenharia de Gesto. mestre em Engenharia Eltrica e doutora em Engenharia de Produo pela Escola Politcnica da Universidade de So Paulo (EPUSP). Possui Ps-Doutorado em Pesquisa Operacional e Logstica pela Columbia University em Nova York. Participa de diversos projetos de pesquisa e consultoria nas reas de modelagem, otimizao e logstica. Lecionou disciplinas de Pesquisa Operacional, Anlise Multivariada de Dados e Gesto de Operaes e Logstica em cursos de graduao e mestrado no Centro Universitrio da FEI e na Escola de Artes, Cincias e Humanidades da Universidade de So Paulo (EACH/USP). Seus principais interesses de pesquisa situam-se na rea de modelagem, otimizao combinatria e heursticas para tomada de decises. autora dos livros Manual de Anlise de Dados: Estatstica e Modelagem Multivariada com Excel, SPSS e Stata, Estatstica Aplicada a Administrao, Contabilidade e Economia com Excel e SPSS, Anlise de Dados: Tcnicas Multivariadas Exploratrias com SPSS e Stata, Mtodos Quantitativos com Stata, Anlise de Dados: Modelagem Multivariada para Tomada de Decises, Pesquisa Operacional para cursos de Engenharia e Pesquisa Operacional para cursos de Administrao, Contabilidade e Economia, todos publicados pela Elsevier. autora de artigos publicados em diversos congressos nacionais e internacionais e em peridicos cientficos, incluindo European Journal of Operational Research, Computers & Industrial Engineering, Central European Journal of Operations Research, International Journal of Management, Produo, Gesto & Produo, Transportes, Estudos Econmicos, entre outros. scia-diretora da Montvero Consultoria e Treinamento e consultora de empresas nas reas de Data Science, Business Analytics, Inteligncia Artificial, e Simulao e Otimizao de Processos, com uso de ferramentas de Machine Learning, Anlise de Dados e Pesquisa Operacional, como R, Stata, IBM SPSS e ProModel.

Extra informatie

Combines statistics and operations research to teach business analytics to those who want to apply quantitative methods in their work

Quote

"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

Winkelvoorraad

Dit product is op dit moment niet op voorraad in een van onze vestigingen.