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. -- Amazon.com.
Textbook for DA 103 SQL for Data Analysis DA103.
A data miner looks at SQL -- What's in a table? Getting started with data exploration -- How different is different? -- Where is it all happening? Location, location, location -- It's a matter of time -- How long will customers last? Survival analysis to understand customers and their value -- Factors affecting survival: the what and why of customer tenure -- Customer purchases and other repeated events -- What's in a shopping cart? Market basket analysis -- Association rules and beyond -- Data mining models in SQL -- The best-fit line: linear regression models -- Building customer signatures for further analysis -- Performance is the issue: using SQL effectively.