Data Analysis Using SQL and Excel / Edition 1

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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.

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Product Details

  • ISBN-13: 9780470099513
  • Publisher: Wiley
  • Publication date: 10/1/2007
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 744
  • Sales rank: 389,381
  • Product dimensions: 7.40 (w) x 9.25 (h) x 1.50 (d)

Meet the Author

GORDON S. LINOFF is a cofounder of Data Miners, Inc., a consultancy specializing in data mining. He is the coauthor of the bestselling Data Mining Techniques, Second Edition, and Mastering Data Mining (both from Wiley). He has more than a decade of experience applying data mining techniques to business problems in marketing and customer relationship management.

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Table of Contents




Chapter 1 A Data Miner Looks at SQL.

Chapter 2 What’s In a Table? Getting Started with DataExploration.

Chapter 3 How Different Is Different?

Chapter 4 Where Is It All Happening? Location, Location,Location.

Chapter 5 It’s a Matter of Time.

Chapter 6 How Long Will Customers Last? Survival Analysis toUnderstand Customers and Their Value.

Chapter 7 Factors Affecting Survival: The What and Why ofCustomer Tenure.

Chapter 8 Customer Purchases and Other Repeated Events.

Chapter 9 What’s in a Shopping Cart? Market BasketAnalysis and Association Rules.

Chapter 10 Data Mining Models in SQL.

Chapter 11 The Best-Fit Line: Linear Regression Models.

Chapter 12 Building Customer Signatures for FurtherAnalysis.

Appendix Equivalent Constructs Among Databases.


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  • Anonymous

    Posted January 31, 2008

    Invaluable Guide to Utilizing Data

    Utilizing data to drive results is critical to the success of any organization. Many know this to be true, but don¿t know how to go about it. 'Data Analysis Using SQL and Excel' by Gordon Linoff successfully shows the way using a holistic approach of ¿data ¿ analysis ¿ presentation¿. Its success is based on a number attributes including.... 1. Wide Audience: Different groups of people are addressed. Management and leadership will see what is possible with great examples 'e.g. Three Scenarios' on pg 333'. 'Doers' 'e.g. analysts' get a clear view of the big picture along with the ever so important how-to aspects 'which is often not included in other texts'. 2. Popular Tools: As the title states, this book utilizes Microsoft Excel and SQL. Not only are these tools often readily available, but many people are familiar with at least one of these, if not both. This familiarity enables the reader to focus more on learning useful approaches than the tools themselves. 3. Methods: A host of useful methods are covered from Survival Analysis to the more traditional like RFM. All, especially those related to statistics, are explained well ¿ simple but not so simple as to be inaccurate or incomplete. In my opinion, ¿Data Analysis Using SQL and Excel¿ is invaluable to those who want to get the most out of their organization¿s data.

    0 out of 1 people found this review helpful.

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  • Anonymous

    Posted July 12, 2010

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