The online computer book shop for UK & Europe                                   

   Books Home | About Us | Index | Next Record | Browse

 
  

Tel: 0121 706 6000 

Static Book Details Page - Computer Manuals Website

 Microsoft Access Data Analysis
  

  Microsoft Access Data Analysis by Michael Alexander ; Robert Zey

  • Published by: WILEY
  • Author: Michael Alexander ; Robert Zey
  • Page Count: 512
  • Group: ACCESS 2003
  • ISBN: 076459978X/9780764599781
  • Published: Jan 2006

Our Price: 18.19
Discount: 30%
RRP: 25.99 

For Latest Pricing and Availability Click Here
 

The online computer book shop for UK & Europe

Book store with some thing for everyone

Book Information and Description:

Microsoft Access Data Analysis


* 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
  
  

  
Companion web site
  
See examples from this book firsthand, in our companion web site at www.wiley.com/go/accessdataanalysis. The site also includes templates and tools to get you started.
  

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.