From the Back Cover
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Learn to perform sophisticated data analysis using SQL and Excel
SQL is the essential language for querying databases, and Excel is the most popular tool for data presentation and
analysis. Combined, they create a powerful, accessible tool for business data analysis. Many important types of analysis
do not require complex and expensive data mining tools. The answers are on your desktop.
This no-nonsense guide, written by a leading expert on business data mining, shows you how to design and perform
sophisticated data analysis using SQL and Excel. The highly regarded first edition has been revised to cover the newest
enhancements to SQL and Excel, including new techniques and real-world examples. This edition features the up-to-date
information business managers and data analysts need.
The book begins with the basics of SQL for data mining, Excel to present results, and simple ideas from statistics to
understand your data. Core analytic techniques are explained as you learn to run them on real data using Excel and SQL.
The chapters progress from basic queries to increasingly detailed applications as you learn why and when to perform
specific types of analysis, how to design and perform them, and powerful ways of presenting the results. Each step
explains the business context, the technical approach, and the implementation in these familiar tools.
As you progress, you'll discover the importance of geography, how to chart changes in data over time, how to use
survival analysis to understand customer tenure and churn, and the factors that affect survival. You will explore
methods for analyzing customer purchases patterns, market basket analysis, and association rules. Included are important
data mining models in SQL, linear regression models, naive Bayesian models, information on building a customer
signature, methods for analyzing results, including cumulative gains charts and ROC charts, best practices for using
SQL, and getting the best performance for your queries.
With more than 100 pages of new material, the fully revised second edition of Data Analysis Using SQL and Excel enables
you to:
* Understand core analytic techniques that work with SQL and Excel
* Analyze and interpret data in a table
* Present data professionally in Excel charts
* Apply the chi-square measure and other important statistical techniques in both SQL and Excel
* Understand best practices for SQL queries, with a chapter devoted to performance
* Use survival analysis to understand time-to-event problems, both for single events and for repeated events
* Use market basket analysis to understand purchasing behavior
* Identify the analytic approach that gets the result you're looking for
* Avoid common pitfalls
* Maximize the value of the data you have about your customers and your business
The companion website includes datasets for all examples in the book as well as related Excel spreadsheets.
www.wiley.com/go/dataanalysisusingsqlandexcel2e
About the Author
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GORDON S. LINOFF has been working with databases for more decades than he cares to admit. He starting
learning about SQL by memorizing the SQL 92 standard while leading a development team (at the now-defunct Thinking
Machines Corporation) writing the first high-performance database focused on the complex queries needed for decision
support. After that endeavor, Gordon co-founded Data Miners in 1998, a consulting practice devoted to data mining,
analytics, and big data. A constant theme in his work is data and often data in relational databases. His SQL skills
have only gotten stronger over the years. In 2014, he was the top contributor to Stack Overflow, the leading
question-and-answer-site for technical questions. His other books include the bestselling Data Mining Techniques, Third
Edition; Mastering Data Mining; and Mining the Web which focus on data mining and analysis. This book follows on the
popularity of the first edition, with a practical focus on how to actually get and interpret results.