Micro$oft Access 2007 Data Analysis (with source code)

Data analysis is the process of categorizing data into groups, translating large amounts of data into meaningful information, and performing a wide variety of calculations in a fraction of the time it would normally take by hand

Showing readers how to save time and increase productivity, this unique book explains how to analyze data using the latest version of Micro$oft Access, the world's leading PC database system

Practical, real-world scenarios demonstrate the benefits of using Access for data analysis, show how to avoid common pitfalls of everyday data crunching, and illustrate the differences and similarities between Access and Excel data analysis

Explains how to analyze large amounts of data and report findings in an easily understood manner, automate redundant analysis, and get better visibility into data from different perspectives

TABLE OF CONTENT:
Chapter 01 - The Case for Data Analysis in Access
Chapter 02 - Access Basics
Chapter 03 - Beyond Select Queries
Chapter 04 - Transforming Your Data with Access
Chapter 05 - Working with Calculations and Dates
Chapter 06 - Performing Conditional Analysis
Chapter 07 - Understanding and Using SQL
Chapter 08 - Subqueries and Domain Aggregate Functions
Chapter 09 - Running Descriptive Statistics
Chapter 10 - Analyzing Data with Pivot Tables and Pivot Charts
Chapter 11 - Scheduling and Running Batch Analysis
Chapter 12 - Leveraging VBA to Enhance Data Analysis
Chapter 13 - Query Performance and Database Corruption
Appendix A - Data Analyst’s Function Reference
Appendix B - Access VBA Fundamentals
Appendix C - Error Message Reference.

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