Transform raw user retention data into compelling visual narratives that drive business decisions. This course empowers data analysts to master the art and science of retention visualization through advanced heatmap techniques and rigorous accessibility evaluation. You'll learn to calculate cohort retention rates, render time-based heatmaps with strategic event annotations, and critically assess visualizations for clarity, accessibility, and accuracy. By completing this course, you'll confidently create visualizations that not only capture complex behavioral patterns but also communicate insights effectively to diverse stakeholders while meeting accessibility standards.
Visualize Retention: Heatmaps & Clarity Unlocked
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Visualize Retention: Heatmaps & Clarity Unlocked
This course is part of User Retention Analytics Specialization
Instructor: John Whitworth
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Retention heatmaps expose user trends over time, making cohort insights clear and actionable for product and marketing teams.
Good visualization balances design and accessibility, ensuring insights are clear and inclusive for all users.
Event annotation links retention shifts to business actions, turning visual data into actionable explanations.
Visual accessibility checks ensure accurate, unbiased insights and prevent misinterpretation in data communication.
Skills you'll gain
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Recently updated!
January 2026
Taught in English
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This course is part of the User Retention Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
Learners will master the foundational skills for creating effective retention heatmaps by understanding their business value, learning key visualization techniques, practicing heatmap creation in Tableau, and applying event annotation strategies to real user behavior data.
What's included
2 videos1 reading2 assignments
Learners will master the systematic evaluation of data visualizations by understanding accessibility requirements, learning evaluation methodologies, practicing with accessibility tools, and applying comprehensive assessment techniques to ensure visualizations communicate effectively to all audiences.
What's included
2 videos2 readings2 assignments
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