Book Details
| Print ISBN | 9780135231678 |
| eText ISBN | 9780135231906 |
| Publisher | Pearson |
| Publishing Year | 2020 |
| Edition | 3rd Edition |
| Language | English |
| Pages | 704 |
Business Analytics, 3rd Edition, teaches the fundamental concepts of organizational data analysis. The textbook prepares students to apply analytical principles and interpret quantitative models to inform business decisions.
The text examines analytical methods across descriptive and predictive perspectives. Major areas of study include database analytics, data visualization, statistical inference, forecasting techniques, and optimization modeling.
Intended for undergraduate and graduate business students, the volume emphasizes the communication skills required to work alongside analytics professionals. For this 2020 edition, core instructional material relies solely on Microsoft Excel to reinforce practical spreadsheet skills.
Table of Contents
Chapter 1: Introduction to Business Analytics
- • _Appendix A1: Basic Excel Concepts_
Chapter 2: Database Analytics
Chapter 3: Data Visualization
- • _Appendix A3: Additional Windows Tools for Data Visualization and Tableau Software_
Chapter 4: Descriptive Statistics
- • _Appendix A4: Additional Excel Windows Charts for Descriptive Statistics_
Chapter 5: Probability Distributions and Data Modeling
Chapter 6: Sampling and Estimation
Chapter 7: Statistical Inference
Chapter 8: Trendlines and Regression Analysis
Chapter 9: Forecasting Techniques
- • _Online Supplement: Advanced Forecasting Techniques Using XLMiner_
Chapter 10: Introduction to Data Mining
Chapter 11: Spreadsheet Modeling and Analysis
Chapter 12: Monte Carlo Simulation and Risk Analysis
Chapter 13: Linear Optimization
Chapter 14: Integer and Nonlinear Optimization
Chapter 15: Optimization Analytics
Chapter 16: Decision Analysis
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