Excel Data Analysis Tools
It can be difficult to extract any meaningful information from the large amounts of data stored in an Excel worksheet, or to sort through multi-variable problems. The Excel Data Analysis Tools course provides a number of solutions to these issues by showing how to use PivotTables, what-if analysis, data tables, goal seeking, and the Scenario Manager and Solver tools. This course reveals how to extract the maximum amount of usable information from large data sets, as well as provide ready solutions to seemingly intractable analysis problems. (Note: This course is based on Microsoft Excel 365)
Format
PDF Course
Level
Overview
Duration
1.5 Hours
Course Information
Author: Steven Bragg
Course Number: SP1017
Learning Objectives
- Explain the characteristics of the ribbon system.
- Describe the circumstances under which a PivotTable is most useful.
- Identify the nature of properly normalized data.
- Specify the options available for altering the appearance of a PivotTable.
- Identify the different types of charts that can be constructed from a PivotTable.
- Specify the different types of filtering tools that can be applied to a PivotTable.
- Identify the construction steps involved in setting up a data table.
- Explain how Excel tools can be used to resolve constraint analysis situations.
Level: Overview
Instructional Method: QAS Self-Study
NASBA Category: Computer Software and Applications
Prerequisites: Basic knowledge of Excel.
Advance Preparation: None
Latest Review Date: April 2025
Program Registration Requirements: Click on the Enroll button to pay for and access the course. You will then be able to download the course as a PDF file, then take an on-line examination, and then download a certificate of completion if you pass the examination.
Program Refund Policy: For more information regarding administrative policies concerning complaints, refunds, and other matters, see our policies page.
