Data Science for Business and Decision Making - 1st Edition - ISBN: 9780128112168

Data Science for Business and Decision Making

1st Edition

Authors: Luiz Favero Patricia Favero
Paperback ISBN: 9780128112168
Imprint: Academic Press
Published Date: 1st August 2018
Page Count: 1000
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Description

Tangible competitive advantages can emerge from vast amounts of complex data translated into clear and manageable information. 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, it more clearly defines the principles of Business Analytics for those with backgrounds in business 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 of its chapters uses the same didactic format followed by exercises with answers at the back of the book. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, IBM SPSS Statistics Software®, and R.

Key Features

  • 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, focusing on in-depth interpretation of the results, sensitivity analysis, and alternative modeling approaches

Readership

Upper-division undergraduates and graduate students worldwide working on business decision-making. This book will help them with statistics, particularly optimization and multivariate modeling, and their manipulation through the use of Excel, SPSS, and Stata

Table of Contents

Part 1: Foundations of Business Data Analysis
1. Introduction to Data Analysis and Decision Making
2. Type of variables and Mensuration Scales

Part 2: Descriptive Statistics
3. Univariate Descriptive Statistics
4. Bivariate Descriptive Statistics

Part 3: Probabilistic Statistics
5. Introduction of Probability
6. Random Variables and Probability Distributions

Part 4: Statistical Inference
7. Sampling
8. Estimation
9. Hypothesis Tests
10. Non-parametric Tests

Part 5: Multivariate Exploratory Data Analysis
11. Cluster Analysis
12. Principal Components Analysis and Factorial Analysis

Part 6: Generalized Linear Models
13. Simple and Multiple Regression Models
14. Binary and Multinomial Logistics Regression Models
15. Regression Models for Count Data: Poisson and Negative Binomial

Part 7: Optimization Models and Simulation
16. Introduction to Optimization Models: Business Problems Formulations and Modeling
17. Solution of Linear Programming Problems
18. Network Programming
19. Integer Programming
20. Simulation and Risk Analysis

Details

No. of pages:
1000
Language:
English
Copyright:
© Academic Press 2018
Published:
Imprint:
Academic Press
Paperback ISBN:
9780128112168

About the Author

Luiz Favero

Luiz Paulo Fávero é professor livre-docente da Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo (FEA/USP) em cursos de graduação, mestrado e doutorado. É graduado em Engenharia Civil pela Escola Politécnica da USP, pós-graduado em Administração pela Fundação Getúlio Vargas (FGV/SP) e obteve os títulos de mestre e doutor em Administração pela FEA/USP. Possui Pós-Doutorado em Econometria Financeira pela Columbia University em Nova York. Participou de cursos de Gestão de Negócios pela Harvard Business School e de Técnicas de Modelagem pela California State University. É professor visitante da Universidade Federal de São Paulo (UNIFESP) e professor em cursos de pós-graduação (especialização e MBA) da FIPECAFI, da FIA e da FIPE. É sócio-diretor da Montvero Consultoria e Treinamento e membro do Board of Directors do Global Business Research Committee. É autor dos livros Análise de Dados: Modelagem Multivariada para Tomada de Decisões, Métodos Quantitativos com Stata®, Pesquisa Operacional para cursos de Engenharia e Pesquisa Operacional para cursos de Administração, Contabilidade e Economia, e coautor de Contemporary Studies in Economics and Financial Analysis e Trends in International Trade Issues.

Affiliations and Expertise

Faculdade de Economia, Administracao e Contabilidade, Universidade de Sao Paulo, Brazil

Patricia Favero

Affiliations and Expertise

Federal University of ABC, Brazil

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