Advanced Data Visualization with R

Johns Hopkins extends an R visualization foundation into richer figures and presentation formats. Spatial data, Plotly and gganimate sit alongside advanced ggplot2 work. The approximately eleven-hour outline uses videos, readings and quizzes to develop understanding of the visual techniques.

What you will learn

• Create more complex figures with ggplot2 and related packages.
• Represent spatial information in an R visualization.
• Explore interactive and animated chart formats.

Who this suits

R users with an existing plotting foundation who want additional presentation techniques.

Before you enroll

The provider lists mixed levels and does not specify prerequisites. Its advanced title makes a working knowledge of R plotting useful before enrollment.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Tool subscriptions, model API usage and cloud services may cost extra.

Put it into practice

Present the same time series as a static chart and an animation. Ask a reader to answer the same question with each, then identify which format communicates it more clearly.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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