Data Analysis Using SQL and Excel by Gordon S Linoff

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Summary

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.

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Data Analysis Using SQL and Excel by Gordon S Linoff

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.

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.

SKU Unavailable
ISBN 13 9781119021438
ISBN 10 111902143X
Title Data Analysis Using SQL and Excel
Author Gordon S Linoff
Condition Unavailable
Binding Type Paperback
Publisher John Wiley & Sons Inc
Year published 2016-01-01
Number of pages 800
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.