finelybook
Business Analytics: Data Analysis & Decision Making, Cengage International Edition
Author(s): S. Albright (Author), Wayne Winston (Author)
- Publisher finelybook 出版社: South-Western College Pub
- Publication Date 出版日期: 11 July 2024
- Edition 版本: 8th
- Language 语言: English
- Print length 页数: 880 pages
- ASIN: B0CYSYH5RM
- ISBN-13: 9798214050270
Book Description
Product description
Review
About the Author
Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now Professor of Decision and Information Sciences at the Bauer College at the University of Houston. Dr. Winston has received more than 45 teaching awards and is a six-time recipient of the school-wide M.B.A. award. His current interest focuses on showing how to use spreadsheet models to solve business problems in all disciplines, particularly in finance, sports and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written successful textbooks on topics including operations research, mathematical programming, simulation modeling, spreadsheet modeling, data analysis for managers, marketing analytics and more. Dr. Winston received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale.
Table of Contents
1. Introduction to Business Analytics.
Part 1: DATA ANALYSIS.
2. Describing the Distribution of a Variable.
3. Finding Relationships among Variables.
4. Business Intelligence (BI) Tools for Data Analysis: Power Query.
5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot.
Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY.
6. Probability and Probability Distributions.
7. Decision Making under Uncertainty.
Part 3: STATISTICAL INFERENCE, REGRESSION ANALYSIS, and TIME SERIES FORECASTING.
8. Statistical Inference.
9. Regression Analysis: Estimating Relationships.
10. Regression Analysis: Statistical Inference.
11. Time Series Analysis and Forecasting.
Part 4: OPTIMIZATION AND SIMULATION MODELING.
12. Introduction to Optimization Modeling.
13. Optimization Models.
14. Introduction to Simulation Modeling.
15. Simulation Models.
Part 5: ADVANCED DATA ANALYSIS.
16. Data Mining: Classification.
17. Data Mining: Clustering and Market Basket Analysis.
Part 7: BONUS ONLINE MATERIAL.
18. Analysis of Variance and Experimental Design.
19. Statistical Process Control.
Appendix A: Statistical Reporting.
Amazon Page
