Data Visualization: Principles, Perception, and Encodings

Choose visual forms thoughtfully, use visual variables clearly, and critique how charts guide interpretation.

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Course overview

A four-lesson beginner course about designing and reading data visualizations. It begins with the purpose of visualization, then considers perceptual organization, visual principles, and visual encodings such as position, length, and color. Learners practise matching a chart to a question and annotating uncertainty and limitations instead of treating a polished graphic as proof.

State the audience, question, and data needed before selecting a visual form. Use basic perceptual and design principles to improve hierarchy and reduce clutter. Explain how position, length, and color encode values and compare their likely readability. Critique a chart for scale, context, uncertainty, and potentially misleading emphasis.

No design software or statistical background is required. Bring a small table you may use or work from the course's hypothetical examples.

Beginners who want a clear, guided introduction without unnecessary jargon

People who learn best through examples, guided lessons, and hands-on practice

Professionals, creators, and independent builders looking for a repeatable workflow

Lesson 1 is free

4 lessons · Beginner · Full course.

Open-license course content · CC BY licensed · license verified

This course uses CC BY licensed material attributed to its content provider or uploader. Lesson playback is available only through authenticated access after publication and licensing checks pass.