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Product details:
- ISBN-10 : 9781285187273
- ISBN-13 : 978-1285187273
- Author: Jeffrey D. Camm; James J. Cochran;
Michael J. Fry
This book provides coverage over the full range of analytics–descriptive, predictive, prescriptive–not covered by any other single book. It includes step-by-step instructions to help students learn how to use Excel and powerful but easy to use Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation.
Table of contents:
Chapter 1. Introduction
Chapter 2. Data Collection
Chapter 3. Data Management – Relational Database Systems (RDBMS)
Chapter 4. Big Data Management
Chapter 5. Data Visualization
Chapter 6. Statistical Methods-Basic inferences
Chapter 7. Statistical Methods-Regression
Chapter 8. Advanced Regression Analysis
Chapter 9. Text Analytics
Chapter 10. Simulation
Chapter 11. Introduction to Optimization
Chapter 12. Forecasting Analytics
Chapter 13. Count Data Regression
Chapter 14. Survival Analysis
Chapter 15. Machine Learning (Unsupervised)
Chapter 16. Machine Learning (Supervised)
Chapter 17. Deep Learning
Chapter 18. Retail Analytics
Chapter 19. Marketing Analytics
Chapter 20. Financial Analytics
Chapter 21. Social Media and Web Analytics
Chapter 22. Healthcare Analytics
Chapter 23. Pricing Analytics
Chapter 24. Supply Chain Analytics
Chapter 25. Case study: Ideal Insurance
Chapter 26. Case study: AAA Airline
Chapter 27. Case study: Informedia Solutions
Chapter 28. Appendix 1: Introduction to R
Chapter 29. Appendix 2: Introduction to Python
Chapter 30. Appendix 3: Probability and Statistics.-.
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