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

Visualize Retention: Heatmaps & Clarity Unlocked
This course is part of User Retention Analytics Specialization

Instructor: John Whitworth
Access provided by SGCSRC
Recommended experience
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
Tools you'll learn
Details to know

Add to your LinkedIn profile
January 2026
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 2 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Explore more from Business

Coursera

Johns Hopkins University
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.



