Excel for Professionals

Providing the tools and techniques necessary for finding errors and fraud in audits, this guide for auditors looking to better validate their Microsoft Excel spreadsheets provides techniques for performing a risk assessment and gathering spreadsheet and other data from company systems. Performing audit data analysis using data and analytical management functions and pinpointing the common errors in spreadsheets with focused Excel tests is discussed, as are the best practices for error and fraud prevention when developing spreadsheets. This reference is fully updated to reflect Excel 12.

The most powerful Microsoft Excel features that can be used to sort through data to produce meaningful marketing analyses are outlined in this manual. Marketing managers will learn the math functions to produce budgets and forecasts, and how to use survey analysis to quickly spot trends using pivot tables and other analysis tools. Ideas for launch schedules, life cycle management, and other date-related information are also presented.

With examples from the world of science, this reference teaches scientists how to create graphs, analyze statistics and regressions, and plot and organize scientific data. Scientists can learn the tips and techniques of Excel-and tailor them specifically to their experiments, designs, and research. They will learn when to use NORMDIST vs NORMSDist and CONFIDENCE vs Z, how to keep data-validation lists on a hidden worksheet, use pivot tables to chart frequency distribution, generate random samples with various characteristics, and much more. Ideal for students and professionals alike, this handbook will enable greater productivity and efficiency and it is updated to include all new functions in Excel 2010 and Excel 2013.

For scientists and engineers tired of trying to learn Excel with examples from accounting, this self-paced tutorial is loaded with informative samples from the world of science and engineering. Techniques covered include creating a multifactorial or polynomial trendline, generating random samples with various characteristics, and tips on when to use PEARSON instead of CORREL. Other science- and engineering-related Excel features such as making columns touch each other for a histogram, unlinking a chart from its data, and pivoting tables to create frequency distributions are also covered.

With examples from the world of science and engineering, this reference teaches scientists how to create graphs, analyze statistics and regressions, and plot and organize scientific data. Physicists and engineers can learn the tips and techniques of Excel-and tailor them specifically to their experiments, designs, and research. They will learn when to use NORMDIST vs NORMSDist and CONFIDENCE vs Z, how to keep data-validation lists on a hidden worksheet, use pivot tables to chart frequency distribution, generate random samples with various characteristics, and much more. Ideal for students and professionals alike, this handbook will enable greater productivity and efficiency.

This guide to enabling middle-grade mathematics teachers to use Microsoft Excel in the classroom focuses primarily on concepts taught in grades 4–10, with some pre-algebra lessons for higher grades. Including files available for downloading to create custom math worksheets, build self-grading interactive spreadsheets, and use Excel to demonstrate charts and Cartesian math, this handbook provides fun examples of probability, solving equations, magic squares, and compound interest.

Addressing a classroom teacher's need to simultaneous manage a classroom full of students, meet state mandated assessment standards for students, and track students' performance against a rubric, this overview of Excel shows how to put its features to use immediately in a classroom. Tracking attendance, grades, and books in the school library, creating reports to share with parents at parent-teacher conference time, and teaching basic charting concepts in a mathematics class are among the possible uses of Excel covered in this guide.

Written specifically for finance managers, Excel for the CFO explains the best features of Excel that allow for the automation of regular processes and help reduce the processing time spent on analytics. The book explores the entire gamut of finance-related functions and is focused on practical approaches to using Excel-including Pivot Tables, Goal Seek, Scenario Builder, and VBA-in problem solving to deliver quality results. Using case studies across all types of organizations to demonstrate the application of Excel-based automation, the scenarios covered include the automation of financial analysis models, the creation of income statement and balance sheet templates, converting numbers to words for check printing, and much more. Any finance executive who manages the company's business affairs and makes critical decisions by analyzing data would be directly benefitted by using the tips and techniques presented in this guide.