Skip to main content

Excel 2016: Data Analysis with Power Pivot - Virtual

On Demand

Course Overview

We are now living in the age of big data. Data is being collected all the time and for increasingly detailed transactions. This can lead to an overwhelming amount of data, which brings about a need for people who can analyze large amounts of data quickly. Fortunately, Excel provides Power Pivot to help you organize, manipulate, and report on your data in the best way possible. Since a tool is only as good as the person using it, it is important to gain a solid understanding of Power Pivot to maximize your effectiveness when analyzing data.

Course Length

Half day

Target Audience

Students taking this course are experienced Excel users who are seeking to advance their data analysis capabilities by using Power Pivot.

Course Prerequisites

To ensure your success in this course, you should have experience working with Excel 2016 and PivotTables. You should already understand spreadsheet concepts and be comfortable creating and analyzing basic PivotTables. You can obtain this level of skills and knowledge by taking the following Logical Operations courses:

• Microsoft Office Excel 2016: Part 1 (Second Edition)
• Microsoft Office Excel 2016: Part 2 (Second Edition)
• Microsoft Office Excel 2016: Data Analysis with PivotTables (recommended)

Learning Outcomes / Objectives

Upon successful completion of this course, you will be able to use Power Pivot along with Excel 2016 to analyze data from a variety of sources. You will:

• Get started with Power Pivot.
• Visualize Power Pivot data.
• Work with advanced functionality in Power Pivot.

Topic List

Lesson 1: Getting Started with Power Pivot
Topic A: Enable and Navigate Power Pivot
Topic B: Manage Data Relationships

Lesson 2: Visualizing Power Pivot Data
Topic A: Create a Power Pivot Report
Topic B: Create Calculations in Power Pivot

Lesson 3: Working with Advanced Functionality in Power Pivot
Topic A: Create a Key Performance Indicator
Topic B: Work with Dates and Time in Power Pivot

Check Out