Linoff, Gordon S.

Data Analysis Using SQL and Excel

Linoff, Gordon S. - Data Analysis Using SQL and Excel, ebook


Ebook, ePUB with Adobe DRM
ISBN: 9781119021445
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Printing238 pages with an additional page accrued every 4 hours, capped at 238 pages
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A practical guide to data mining 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.

Keywords: Data Analysis Using SQL and Excel 2nd Edition; Gordon S. Linhoff; Data Miners; business analytics; data mining techniques; SQL data mining; Excel data mining; advanced data analytics; business analysis; DIY data mining; sophisticated analytics techniques; analytics implementation; advanced analytics execution; SQL data analysis; Excel power user; data handling for business; relational databases; Oracle in business; simple data mining; data mining tools; data mining techniques; business analytics techniques; data mining how-to, Data Mining & Knowledge Discovery, Data Mining & Knowledge Discovery

John Wiley and Sons, Inc.
Publication year
Page amount
800 pages
Information Technology, Telecommunications
Printed ISBN

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