How to Turn Data Into Compelling Visual Presentations: Make Your Data Speak with Clear Visuals in 2026.
- Why get trained: Learn how to apply core data visualisation principles and best practices, and use tools such as Microsoft Excel and PowerPoint to create visuals that show patterns, comparisons, and trends clearly.
- Why it matters: Visuals make it easier to grasp complex information, help others understand insights at a glance, and support better communication and decision-making by turning numbers into understandable charts and graphs.
- Who should attend: Professionals who work with data, analysts, team members who prepare reports and presentations, and anyone interested in improving how they present data so audiences can see meaning rather than just numbers.
Gain practical skills to present data with confidence and clarity. Enroll and start creating visuals that communicate insight. HRD Corp Claimable.
Renew your PMI certification: This course is eligible for 14 Professional Development Units (PDUs).

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
Prerequisites
Target Audience
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

Module 1: Learning Objective
- Apply Best Practices for Optimizing Data Visualization and information Design to Determine the Most Effective Way to Present the Story of Your Quantitative Information and Data
Module 2: The World of Data Visualization
- Discuss the Importance of Information Design and Data Visualization
- Identify General Options for Telling the Story of Your Data
- Apply Best Practices for Graphic Design When Presenting Your Data
Module 3: Chart Types
- Identify and Eliminate Chart Junk
- Apply Best Practices for Labeling and Titling When Presenting Your Data
- Compare and Contrast Three Different Groups of Chart Types
- Select a Chart Type That Best Communicates and Presents the Data Story You Wish to Tell
Dates & Locations
July 27, 2026 - July 28, 2026
July 27, 2026 - July 28, 2026
October 19, 2026 - October 20, 2026
October 19, 2026 - October 20, 2026

Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
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