Data Analysis with Microsoft Access 2010: From Simple Queries to Business Intelligence / Edition 1by Larry Rockoff
Pub. Date: 10/28/2011
Publisher: Cengage Learning
DATA ANALYSIS WITH MICROSOFT ACCESS 2010 is an introduction to Access with an emphasis on topics relevant to data analysis. The goal is to help the analyst gain a true understanding of data and the information it contains. Access queries are covered in detail, both in terms of the mechanics of their design, and how they can be used for typical data analysis tasks.… See more details below
DATA ANALYSIS WITH MICROSOFT ACCESS 2010 is an introduction to Access with an emphasis on topics relevant to data analysis. The goal is to help the analyst gain a true understanding of data and the information it contains. Access queries are covered in detail, both in terms of the mechanics of their design, and how they can be used for typical data analysis tasks. The book is written in an easy-to-understand tutorial style, with new topics introduced in a logical and intuitive sequence. Numerous screenshots are included, so you won't need to sit with a computer as you read the book. The author also broadens the concept of data analysis to encompass business intelligence (BI) topics, including valuable material on how to use Access and Excel pivot tables. Additional features include "See the SQL" sidebars that allow interested readers to learn SQL as they are learning Access, and "Focus on Analysis" sidebars that provide details on a number of useful quantitative topics. A companion website has a sample database that correlates with the BI material in the book. In short, this is the only book you'll need to gain a working knowledge of Access, and how it can be used for data analysis.
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Table of Contents
Introduction. Part I: GETTING STARTED. 1. What is Data Analysis? 2. Overview of Access. Part II: ACCESS QUERIES. 3. Tables and External Data. 4. Select Queries. 5. Joins and Relationships. 6. Relational Database Design. 7. Expressions and Functions. 8. Selection Criteria. 9. Summarizing Data. 10. Subqueries and Set Logic. 11. Action Queries. 12. Crosstab Queries and Pivot Tables. Part III: CREATING BUSINESS INTELLIGENCE. 13. What is Business Intelligence? 14. Dimensional Modeling. 15. The Data Warehouse. 16. Excel Pivot Tables. Appendix A: Forms, Macros and Reports. Appendix B: A Sample Business Intelligence Database.
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