Business analytics: methods, models and decision

Table of Content
"1. Introduction to Business Analytics 2. Database Analytics 3. Data Visualization 4. Descriptive Statistics 5. Probability Distributions and Data Modeling 6. Sampling and Estimation 7. Statistical Inference 8. Trendlines and Regression Analysis 9. Forecasting Techniques 10. Introduction to Data Mining 11. Spreadsheet Modeling and Analysis 12. Monte Carlo Simulation and Risk Analysis 13. Linear Optimization 14. Integer and Nonlinear Optimization 15. Optimization Analytics 16. Decision Analysis"

Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organizations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students' skills in the program and basic understanding of fundamental concepts. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate.