For undergraduate and introductory graduate business courses. A balanced, holistic approach to understanding business analytics. This book provides students with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations. Evans also shows students how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.
Part 1: Foundations of Business Analytics Chapter 1: Introduction to Business Analytics Chapter 2: Analytics on Spreadsheets Part 2: Descriptive Analytics Chapter 3: Visualizing and Exploring Data Chapter 4: Descriptive Statistical Measures Chapter 5: Probability Distributions and Data Modeling Chapter 6: Sampling and Estimation Chapter 7: Statistical Inference Part 3: Predictive Analytics Chapter 8: Predictive Modeling and Analysis Chapter 9: Regression Analysis Chapter 10: Forecasting Techniques Chapter 11: Simulation and Risk Analysis Chapter 12: Introduction to Data Mining Part 4: Prescriptive Analytics Chapter 13: Linear Optimization Chapter 14: Applications of Linear Optimization Chapter 15: Integer Optimization Chapter 16: Nonlinear and Non-Smooth Optimization Chapter 17: Optimization Models with Uncertainty Part 5: Making Decisions Chapter 18: Decision Analysis