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Microsoft Access 2007 Data Analysis

Microsoft Access 2007 Data Analysis
Author: Michael Alexander
Publisher: John Wiley & Sons
Total Pages: 558
Release: 2012-06-26
Genre: Computers
ISBN: 1118079183

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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.


Data Analysis with Microsoft Access 2010: From Simple Queries to Business Intelligence

Data Analysis with Microsoft Access 2010: From Simple Queries to Business Intelligence
Author: Larry Rockoff
Publisher: Cengage Learning
Total Pages: 0
Release: 2011-10-28
Genre: Computers
ISBN: 9781435460102

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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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Access Data Analysis Cookbook

Access Data Analysis Cookbook
Author: Ken Bluttman
Publisher: "O'Reilly Media, Inc."
Total Pages: 369
Release: 2007-05-14
Genre: Computers
ISBN: 0596555210

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If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Each recipe includes a discussion on how and why the solution works. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, and more. Learn how to apply statistics to summarize business information, how to jump beyond SQL by manipulating data with VBA, how to process dates and times, and even how to reach into the Excel data analysis toolkit. Recipes demonstrate ways to: Develop basic and sophisticated queries Apply aggregate functions, custom functions, regular expressions, and crosstabs Apply queries to perform non-passive activities such as inserting, updating, and deleting data Create and manipulate tables and queries programmatically Manage text-based data, including methods to isolate parts of a string and ways to work with numbers that are stored as text Use arrays, read and write to the Windows registry, encrypt data, and use transaction processing Use the FileSystemObject, use XML with XSLT, communicate with SQL Server, and exchange data with other Office products Find answers from time-based data, such as how to add time, count elapsed time, work with leap years, and how to manage time zones in your calculations Deal with business and finance problems, including methods for calculating depreciation, loan paybacks, and Return on Investment (ROI) Explore statistical techniques, such as frequency, variance, kurtosis, linear regression, combinations and permutations Access Data Analysis Cookbook is a one-stop-shop for extracting nuggets of valuable information from your database, and anyone with Access experience will benefit from these tips and techniques, including seasoned developers. If you want to use your data, and not just store it, you'll find this guide indispensable.


Microsoft Access Data Analysis

Microsoft Access Data Analysis
Author: Michael Alexander
Publisher: John Wiley & Sons
Total Pages: 549
Release: 2007-04-10
Genre: Computers
ISBN: 0471793086

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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.


The Excel Analyst's Guide to Access

The Excel Analyst's Guide to Access
Author: Michael Alexander
Publisher: John Wiley and Sons
Total Pages: 658
Release: 2011-03-03
Genre: Computers
ISBN: 1118081803

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The ultimate handbook for Excel analysts who need reporting solutions using Access Excel and Access are intended to work together. This book offers a comprehensive review of the extensive analytical and reporting functionality that Access provides and how it enhances Excel reporting functions. Sales managers, operations analysts, administrative assistants, office managers, and many others who rely heavily on data can benefit from learning to integrate Excel and Access, and this book shows you how. Coverage includes: Data Analysis in Access & the Basics of Access Beyond Select Queries Transforming Your Data with Access Working with Calculations and Dates Performing Conditional Analysis Adding Dimension with Subqueries and Domain Aggregate Functions Running Descriptive Statistics in Access Scheduling and Running Batch Analysis Leveraging VBA to Enhance Data Analysis Reports, Dashboards, and Visualization in Access Presenting Data with Access Reports Using Pivot Tables and Pivot Charts in Access Enhancing Queries and Reports with Visualizations Advanced Excel and Access Integration Techniques Getting Access Data into Excel Using VBA to Move Data between Excel and Access Exploring Excel and Access Automation Integrating Excel and Access with XML Integrating Excel and Other Office Applications Access VBA Fundamentals Understanding and Using SQL and more! The Excel Analyst's Guide to Access helps you get more from both applications. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.


Data Analysis Using Microsoft Excel

Data Analysis Using Microsoft Excel
Author: Michael R. Middleton
Publisher: Cengage Learning
Total Pages: 0
Release: 2004
Genre: Business
ISBN: 9780534402938

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Updated to take account of Office XP, this book provides Excel users with the ability to analyse data quickly. The book's organization parallels a standard course in business statistics.


Data Analysis for Managers with Microsoft Excel

Data Analysis for Managers with Microsoft Excel
Author: S. Christian Albright
Publisher: South Western Educational Publishing
Total Pages: 988
Release: 2004
Genre: Business & Economics
ISBN: 9780534383664

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This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excel from Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.


Data Analysis in Plain English with Microsoft Excel

Data Analysis in Plain English with Microsoft Excel
Author: Harvey J. Brightman
Publisher: South Western Educational Publishing
Total Pages: 0
Release: 1999
Genre: Microsoft Excel (Computer file)
ISBN: 9780534526504

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Harvey Brightman's accessible, easy-to-understand new book focuses on helping readers learn essential statistical concepts and data analysis. In an intuitive and non-mathematical writing style, Brightman uses actual business applications and covers practical insights in business problem solving using Microsoft Excel as the primary computational tool. His clear, to-the-point presentation gives students a 'map' for learning what data analysis techniques to use and when to use them. Brightman presents descriptive and inferential methods in sequential chapters, and introduces probability only as needed and then only on a very limited basis.


Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365)

Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365)
Author: Wayne Winston
Publisher: Microsoft Press
Total Pages: 1788
Release: 2021-12-17
Genre: Computers
ISBN: 0137613679

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Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook


Data Analysis with Microsoft Excel

Data Analysis with Microsoft Excel
Author: Kenneth N. Berk
Publisher: Thomson Brooks/Cole
Total Pages: 0
Release: 2009
Genre: Carey, Patrick
ISBN: 9780495831495

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The latest book from Cengage Learning on Data Analysis with Microsoft« ExcelÖ