Free Lesson
Can You Trust It? 4 Ways Data Visualizations Mislead
60 min
May 12, 2025 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
Data Gaps
Spot issues that stem from how the data has been generated.
Misleading Calculations
Learn how calculations and statistics can be misinterpreted.
Dubious Visuals
Learn how visual representations can distort the data.
Slanted Titles
Learn how titles can bias reading through slanted framing.
Why this topic matters
When reading or designing a visualization, it is essential to possess the skills to identify data interpretation problems. As a data analyst, you want to spot issues to avoid fooling yourself. As a designer, you want to spot issues to avoid fooling others. Join me to learn about a fundamental framework to think about misleading visualization systematically!
You'll learn from
Enrico Bertini
University professor, researcher, and educator with 15+ years of experience.