Overview

Your data is only as powerful as your visual presentation of it.

Data visualization is the process of creating graphical representations of data sets in order to reveal patterns and trends. When data is presented in a visual format, it is easier to see relationships and understand complex information. There are many different techniques that can be used for data visualization, and the best approach depends on the data set itself.

By using the right data visualization technique, it is possible to gain insights that would otherwise be hidden in a data set. As such, data visualization can be a powerful tool for understanding complex information.

In this AMA-2012: AMA: How to Turn Data Into Compelling Visual Presentations course, you will learn the fundamentals and best practices of data visualization techniques, as well as hands-on approaches to using Microsoft Excel and PowerPoint to present your data in a variety of formats.

Skills Covered

  • Understand basic graphic design principles and how audiences process information visually
  • Learn how to make use of emphasis, color, layout, and typography to maximize the clarity of your messages
  • Become familiar with available tools/techniques for data visualization
  • Understand the differences between “Glanceable” and “Referenceable” visualizations and how to harness the power of each
  • Increase the impact and strength of your messages by choosing the most effective chart for a given data set and story in various circumstances
  • Learn the one color that you should make use of in every visualization, the one default element that should be removed from every chart, how legends can confuse your audience, why a bar is nearly always better than a pie, and common design mistakes that distort your data and damage your credibility

Who Should Attend

Those with a foundational understanding of Microsoft Excel® and PowerPoint®, who work regularly with data and wish to design basic and more advanced charts, graphs, and tables

Course Curriculum

Prerequisites

N/A

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Course Modules

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