Microsoft Access Data Analysis

Description

* Go beyond Excel(r) with Access's more powerful analysis capabilities
* Get better visibility into your data with custom views
* Scale up your data pool without limitation
* Master the four fundamentals of data analysis
* Discover shortcuts with the helpful Input Mask Wizard
* Integrate your data with the web and enterprise data sources
* Avoid the common pitfalls of data crunching
* Harness VBA to improve data analysis
* Leverage information from the field with real-world scenarios

Table of Contents

Acknowledgments.

Introduction.

Part One: Fundamentals of Data Analysis in Access.

Chapter 1: Access Basics.

Chapter 2: Beyond Select Queries.

Part Two: Basic Analysis Techniques.

Chapter 3: Transforming Your Data with Access.

Chapter 4: Working with Calculations and Dates.

Chapter 5: Performing Conditional Analysis.

Part Three: Advanced Analysis Techniques.

Chapter 6: Working with Subqueries and Domain Aggregate Functions.

Chapter 7: Running Descriptive Statistics in Access.

Chapter 8: Analyzing Data with Pivot Tables and Pivot Charts.

Part Four: Automating Data Analysis.

Chapter 9: Scheduling and Running Batch Analysis.

Chapter 10: Leveraging VBA to Enhance Data Analysis.

Chapter 11: Reporting Your Results Using Excel Automation.

Chapter 12: Query Performance, Database Corruption, and Other Final Thoughts.

Appendix A: Data Analyst’s Function Reference.

Appendix B: Access VBA Fundamentals.

Appendix C: Data Analyst’s Error Reference.

Index.