Information Technology

Data Analysis Using SQL and Excel

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Data. Analysis. Presentation. These three key capabilities are needed for effectively transforming data into information. And yet, these three topics are rarely treated together. Other books focus on one or the other — on the details of relational databases, or on applying statistics to business problems, or on using Excel. This book approaches the challenges of data analysis from a more holistic perspective, and with the aim of explaining the relevant ideas both to people responsible for analyzing data and to people who want to use such information, responsibly. The motivation for this approach came from a colleague, Nick Drake, who is a statistician by training. Once upon a time, he was looking for a book that would explain how to use SQL for the complex queries needed for data analysis. There are many books on SQL, few focused on using the language for queries, and none that come strictly from a perspective of analyzing data. Similarly, there are many books on statistics, none of which address the simple fact that most of the data being used resides in relational databases. This book is intended to fill that gap.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2008

Collation

1-690

Language

English

ISBN/ISSN

978-0-470-09951-3

Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Data Analysis Using SQL and Excel

Specific Detail Info

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Statement of Responsibility

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