• views: 70
• date: 19 October 2025
• posted by: 0nelove

Data visualizations might mislead audiences or exclude users with disabilities through poor design choices. This course will teach you how to create trustworthy, inclusive visualizations that serve all users.
Charts can mislead when they display inaccurate data, misleading patterns, or oversimplified findings. In this course, Data Visualization Foundations: Accessibility and Ethics, you'll gain the ability to create trustworthy and inclusive data visualizations. First, you'll explore how to spot and fix common forms of data distortion like misleading scales and selective data presentation. Next, you'll discover how to tailor visualizations for different audiences while minimizing data misinterpretation. Finally, you'll learn how to design accessible data visualizations by choosing the right colors, optimizing text elements, and providing alt text. When you're finished with this course, you'll have the skills and knowledge of data visualization needed to craft reliable, inclusive data visualizations that translate complex data for any audience.




   
   
   

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