Higher Education

Data Analysis with Microsoft Access 2010: From Simple Queries to Business Intelligence, 1st Edition

  • Larry Rockoff
  • ISBN-10: 1435460103  |  ISBN-13: 9781435460102
  • 400 Pages
  • © 2012 | Published
  • College Bookstore Wholesale Price = $22.50



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.

Features and Benefits

  • Covers the most recent version of Microsoft Access.
  • Emphasizes features beneficial for data analysis.
  • Addresses Business Intelligence (BI) concepts.
  • Relates Microsoft Access concepts to sql.
  • Focuses on Critical, but general concepts, without excessive detail.
  • Includes a companion website that provides a complete sample Microsoft Access database that illustrates how to effectively implement business intelligence concepts using Access.

Table of Contents

1. What is Data Analysis?
2. Overview of Access.
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.
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.

Meet the Author

Author Bio

Larry Rockoff

Larry Rockoff has been involved with Excel and business intelligence development for many years. He currently works as a senior reporting analyst for a major retail pharmacy. His main area of expertise is with data warehouse systems and reporting tools. He holds an MBA from the University of Chicago, with a specialization in management science.