Data Analysis Using SQL and Excel
Samenvatting
Learn to perform sophisticated data analysis using SQL and Excel
'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. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way.
Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS.
- Understand core analytic techniques that work with SQL and Excel
- Ensure your analytic approach gets you the results you need
- Design and perform your analysis using SQL and Excel
Data Analysis Using SQL and Excel, 2nd Edition shows you how to best use the tools you already know to achieve expert results.
Specificaties
Inhoudsopgave
U kunt van deze inhoudsopgave een PDF downloaden
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
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