Data Analysis Using SQL and Excel
2. Auflage Januar 2016
800 Seiten, Softcover
Praktikerbuch
Kurzbeschreibung
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. You'll learn the fundamental statistical techniques before moving into the "where" and "why" of each analysis, then learn how to design and perform these analyses using SQL and Excel. Each example includes sample code, tips, warnings, , and the companion website includes datasets and Excel spreadsheets to facilitate understanding.
* Understand core analytic techniques more completely
* Determine your analysis approach by the results you need
* Design and perform your analysis using SQL and Excel
Data Analysis Using SQL and Excel, 2nd Edition shows you how to best use the tools you already know to achieve expert results.
Die zweite Auflage von Data Analysis Using SQL and Excel zeigt, wie man diese beiden beliebten Werkzeuge der Datenabfrage und -analyse am besten nutzt, um anspruchsvolle Datenanalysen ohne komplexe, teuere Data-Mining-Tools einsetzen zu müssen. Sie lernen zunächst die grundlegenden statistischen Verfahren kennen, erfahren, wo und warum die einzelnen Analysen eingesetzt werden, und erhalten dann das notwendige Rüstzeug, um diese Analysen mit SQL und Excel durchzuführen. Jedes Beispiel enthält Beispiel-Codes, Tipps und Warnhinweise. Die begleitende Website bietet Datensätze und Excel-Tabellen zum besseren Verständnis des Themas.
- Vermittelt umfassend die notwendigen Grundlagen, um wichtige Analyseverfahren zu verstehen.
- Zeigt Analyseansätze, um genau die benötigten Ergebnisse zu erzielen.
- Erläutert, wie Analysen mit SQL und Excel durchgeführt werden.
In diesem Buch erfahren Sie, wie Sie mit bereits bekannten Tools aussagekräftige Ergebnisse erzielen.
Introduction xxxvii
Chapter 1 A Data Miner Looks at SQL 1
Chapter 2 What's in a Table? Getting Started with Data Exploration 49
Chapter 3 How Different Is Different? 97
Chapter 4 Where Is It All Happening? Location, Location, Location 145
Chapter 5 It's a Matter of Time 197
Chapter 6 How Long Will Customers Last? Survival Analysis to Understand Customers and Their Value 255
Chapter 7 Factors Affecting Survival: The What and Why of Customer Tenure 315
Chapter 8 Customer Purchases and Other Repeated Events 367
Chapter 9 What's in a Shopping Cart? Market Basket Analysis 421
Chapter 10 Association Rules and Beyond 465
Chapter 11 Data Mining Models in SQL 507
Chapter 12 The Best-Fit Line: Linear Regression Models 561
Chapter 13 Building Customer Signatures for Further Analysis 609
Chapter 14 Performance Is the Issue: Using SQL Effectively 655
Appendix Equivalent Constructs Among Databases 703
Index 731
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.
