Data analysis using sql and excel - Gordon S. Linoff

Gordon S. Linoff

ISBN 10: 0470099518 / ISBN 13: 9780470099513

Edité par 2007, 2007

A propos de cet article

Occasion - Etat Correct - Data analysis using sql and excel (2007) - Grand Format.

N° de réf. du vendeur 3633433

Détails bibliographiques

• Titre: Data analysis using sql and excel - Gordon S. Linoff
• Éditeur: 2007
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 0470099518
• ISBN à 13 chiffres: 9780470099513
• Reliure: Couverture souple
• État de l'article: Used: Acceptable
• Catalogues du vendeur:
  • Grand Format

A propos de ce titre

Synopsis

Data Analysis Using SQL and Excel Mastering Data Analysis and Mining with SQL and Excel shows business managers and data analysts how to use the relatively simple tools of SQL and Excel to extract useful business information from relational databases. The book is organized around chapters that become increasingly complex in the use of SQL, Excel, and data mining concepts. Full description

Quatrième de couverture

Leverage the power of SQL and Excel to perform business analysis

Three key efforts are essential to effectively transform data into actionable information: retrieving data with SQL, presenting data with Excel, and understanding statistics as the foundation of data analysis. Data mining expert Gordon Linoff focuses on these topics and shows you how SQL and Excel can be used to extract business information from relational databases. He begins by taking a look at how data is central to the task of understanding customers, products, and markets, and he then goes on to show you how to use that data to define business dimensions, store transactions about customers, and summarize important data to produce results. Along the way, he shares stories based on his personal experience in the field, intended to enrich your understanding of why some things work and others don′t.

Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what you can expect the results to look like. Throughout the book, critical features of Excel are highlighted, interesting uses of Excel graphics are explained, and dataflows and graphical representations of data processing are used to illustrate how SQL works.

Data Analysis Using SQL and Excel shares hints, warnings, and technical asides about Excel, SQL, and data analysis/mining. The book also discusses:

• How entity–relationship diagrams describe the structure of data

• Ways to use SQL to generate SQL queries

• Descriptive statistics, such as averages, p–values, and the chi–square test

• How to incorporate geographic information into data analysis

• Basic ideas of hazard probabilities and survival

• How data structures summarize what a customer looks like at a specific point in time

• Several variants of linear regression

The companion Web site provides the data sets, Excel spreadsheets, and examples featured in the book.