Microsoft Access Data Analysis
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Microsoft Access 2007 Data Analysis
Author: Michael Alexander
language: en
Publisher: John Wiley & Sons
Release Date: 2012-06-26
Chart a course for more effective data analysis with Access 2007. With this resource, you’ll learn how Access 2007 offers powerful functionality that may be better suited to your data analysis needs. Learn to analyze large amounts of data in meaningful ways, quickly and easily slice it into various views, automate redundant analysis, and save time—all using Access. If you know a bit about table structures and formulas as well as data analysis, start thinking outside the chart.
Microsoft Access Data Analysis
Author: Harry Bannon
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2018-07-25
Microsoft Access Data Analysis Research is a one-stop-shop for getting blocks of useful information from your data source, and anyone with Accessibility experience will benefit from these techniques, such as professional designers. If you want to use your details, and not just store it, you'll find this information essential.This information will educate you new methods to question data, different ways to move data in and out of Accessibility, how to determine solutions to financial and investment problems, and more. Learn how to apply research to review business information, how to leap beyond SQL by adjusting data with VBA, how to process schedules and times, and even how to achieve into the Succeed data analysis tool set.This information is a knowledge cruncher's desire. Microsoft Access Data Analysis offers realistic dishes to resolve a number of common problems that customers have with getting Accessibility data and executing computations on it. Each formula has a conversation on how and why the solution works.
Microsoft Access Data Analysis
Author: Vimal S.Swaan
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2016-02-16
Microsoft Access Data Analysis 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.