Business Analytics: Communicating With Numbers

1. Introduction to Business Analytics 
2. Summary Measures 
3. Data Visualization 
4. Probability and Probability Distributions 
5. Statistical Inference 
6. Regression Analysis 
7. More Topics in Regression Analysis 
8. Logistic Regression 
9. Forecasting with Time Series Data 
10. Introduction to Data Mining 
11. Supervised Data Mining: k-Nearest Neighbors and Naïve Bayes 
12. Supervised Data Mining: Decision Trees 
13. Unsupervised Data Mining 
14. Spreadsheet Modeling 
15. Risk Analysis and Simulation 
16. Optimization: Linear Programming 
17. More Applications in Optimization 


APPENDIXES
APPENDIX A Data Management and Wrangling 
APPENDIX B Big Data Sets: Variable Description and Data Dictionary 
APPENDIX C Getting Started with Excel and Excel Add-Ins 
APPENDIX D Getting Started with R 
APPENDIX E Answers to Selected Exercises 


Index 

Overview
This book, one of the most thorough texts on business analytics, is created especially for management students. It offers a comprehensive approach to business analytics that combines qualitative reasoning with quantitative tools to pin

• Business Analytics