User Retention Analytics
About this course
Learn the complete retention analytics lifecycle from data transformation to predictive modeling in this comprehensive 8-course specialization. You'll build expertise in cohort analysis, funnel optimization, activation metrics, and retention visualization using industry-standard tools like SQL, Python, R, and Tableau. Through hands-on projects, you'll learn to segment users by acquisition channels, identify behavioral patterns through clustering, validate activation-retention correlations, and create compelling visualizations that drive strategic decisions. This specialization bridges technical analytics skills with business strategy, enabling you to transform raw user data into actionable insights that optimize marketing spend, improve product-market fit, and boost long-term user retention across digital products.
63/100
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- 39/45
- Who stands behind it
- 8/35
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- 16/20
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What you'll learn
- understand the retention analytics lifecycle
- perform cohort analysis and funnel optimization
- apply clustering to identify user behavior patterns
- validate activation and retention correlations
- create data visualizations to inform strategic decisions
Course objectives
- to develop practical skills in data transformation and predictive modeling
- to learn how to segment users by acquisition channels
- to improve decision-making through data-driven strategies
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