Data analysis using SQL and Excel / Gordon S. Linoff.
Material type: TextLanguage: English Publisher: Indianapolis, IN : John Wiley and Sons, 2016Edition: 2nd edDescription: xlvi, 744 pages : illustrations ; 24 cmISBN: 9781119021438 (pbk. : alk. paper)Subject(s): SQL (Computer program language) | Querying (Computer science) | Data miningDDC classification: 005.74Item type | Current location | Call number | Status | Date due | Barcode |
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Books | Institute of Public Enterprise, Library S Campus | 005.74 LIN (Browse shelf) | Available | 46077 |
Includes index.
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.
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