Data Analysis Using SQL and Excel, 2ed

Contents: Foreword. Introduction. 1. A Data Miner Looks at SQL. 2 What's in a Table? Getting Started with Data Exploration. 3. How Different Is Different? 4. Where Is It All Happening? Location, Location, Location. 5. It's a Matter of Time. 6. How Long Will Customers Last? Survival Analysis to Understand Customers and Their Value. 7. Factors Affecting Survival: The What and Why of Customer Tenure. 8. Customer Purchases and Other Repeated Events. 9. What's in a Shopping Cart? Market Basket Analysis. 10. Association Rules and Beyond. 11 Data Mining Models in SQL. 12. The Best-Fit Line: Linear Regression Models. 13. Building Customer Signatures for Further Analysis. 14. Performance Is the Issue: Using SQL Effectively. Appendix Equivalent Constructs Among Databases. Index. Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis-SQL and Excel-to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel.…