Business Analytics, 3rd Edition

Complete eTextbook Content:
1. Introduction
2. Descriptive Statistics.
3. Data Visualization.
4. Descriptive Data Mining.
5. Probability: An Introduction to Modeling Uncertainty.
6. Statistical Inference.
7. Linear Regression.
8. Time Series Analysis and Forecasting.
9. Predictive Data Mining.
10. Spreadsheet Models.
11. Monte Carlo Simulation.
12. Linear Optimization Models.
13. Integer Linear Optimization Models.
14. Nonlinear Optimization Models.
15. Decision Analysis.
Appendix A: Basics of Excel.
Appendix B: Database Basics with Microsoft Access.
Appendix C: Solutions to Even-Numbered Questions (online).

Click here to download the sample files

Name: Business Analytics, 3rd Edition
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Edition: 3
ISBN-10: 1337406422
ISBN-13: 978-1337406420
Type: eTextbook

This is a eBook for the acutal textbook of Business Analytics, 3rd Edition, by Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams.

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