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.
Applied Learning Project
Apply retention analytics through real-world projects including building interactive dashboards in Tableau, performing cohort analysis with SQL and Python, creating retention heatmaps, optimizing conversion funnels, and developing predictive models. You'll analyze actual user behavior data to identify power users, validate activation metrics, segment customers through clustering, and produce executive-ready visualizations with actionable recommendations for improving product retention and maximizing user lifetime value.
