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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel - Second Edition

By : Gordon S. S. Linoff
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Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel

By: Gordon S. S. Linoff

Overview of this book

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.
Table of Contents (18 chapters)
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1
Foreword
17
EULA

Lessons Learned

A data mining model takes inputs and produces an output, which is typically a prediction or estimation of some value. There are two major processes involved with models. The first is training or building the model. The second is applying the model to new data.

SQL provides a good basis for learning the basics about data mining. Although this may seem surprising, some powerful techniques are really more about manipulating data than about fancy statistical techniques. The GROUP BY operation in SQL is analogous to creating a model (both summarize data). The JOIN operation is analogous to scoring a model.

This chapter discusses several different types of models. The first is a look-alike model, where the model score indicates how close one example is to another. For instance, the model score might indicate how similar zip codes are to the zip code that has highest market penetration.

Lookup models are another type. These create a lookup table, so the process of scoring the...

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Data Analysis Using SQL and Excel
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