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Data Analysis Using SQL and Excel - Second Edition
Data Analysis Using SQL and Excel - Second Edition

Data Analysis Using SQL and Excel: A practical guide to data mining using SQL and Excel, Second Edition

By Gordon S. S. Linoff
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Book Dec 2015 800 pages 2nd Edition
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Key benefits

  • Understand core analytic techniques that work with SQL and Excel
  • Enhance your analytical approach to get the results you want
  • Design and perform your analysis using SQL and Excel

Description

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.

What you will learn

Understand core analytic techniques that work with SQL and Excel Analyze and interpret data in a table Present data professionally in Excel charts Use statistical techniques, such as the chi-square measure in SQL and Excel Apply the best practices for SQL queries Use market basket analysis to understand purchasing behavior

Product Details

Country selected

Publication date : Dec 14, 2015
Length 800 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781119021438
Category :
Languages :
Concepts :

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Product Details


Publication date : Dec 14, 2015
Length 800 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781119021438
Category :
Languages :
Concepts :

Table of Contents

18 Chapters
1. Foreword Chevron down icon Chevron up icon
2. Introduction Chevron down icon Chevron up icon
3. Chapter 1: A Data Miner Looks at SQL Chevron down icon Chevron up icon
4. Chapter 2: What’s in a Table? Getting Started with Data Exploration Chevron down icon Chevron up icon
5. Chapter 3: How Different Is Different? Chevron down icon Chevron up icon
6. Chapter 4: Where Is It All Happening? Location, Location, Location Chevron down icon Chevron up icon
7. Chapter 5: It’s a Matter of Time Chevron down icon Chevron up icon
8. Chapter 6: How Long Will Customers Last? Survival Analysis to Understand Customers and Their Value Chevron down icon Chevron up icon
9. Chapter 7: Factors Affecting Survival: The What and Why of Customer Tenure Chevron down icon Chevron up icon
10. Chapter 8: Customer Purchases and Other Repeated Events Chevron down icon Chevron up icon
11. Chapter 9: What’s in a Shopping Cart? Market Basket Analysis Chevron down icon Chevron up icon
12. Chapter 10: Association Rules and Beyond Chevron down icon Chevron up icon
13. Chapter 11: Data Mining Models in SQL Chevron down icon Chevron up icon
14. Chapter 12: The Best-Fit Line: Linear Regression Models Chevron down icon Chevron up icon
15. Chapter 13: Building Customer Signatures for Further Analysis Chevron down icon Chevron up icon
16. Chapter 14: Performance Is the Issue: Using SQL EffectivelyChapter 14 Chevron down icon Chevron up icon
17. EULA Chevron down icon Chevron up icon
Appendix Equivalent Constructs Among Databases Chevron down icon Chevron up icon

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