User Segmentation, Experimentation, and Retention Analytics

You'll learn to analyze user behavior through advanced segmentation and retention techniques that directly impact business decisions. By completing this course, you'll gain the expertise to identify distinct user groups using clustering algorithms, design statistically valid A/B tests, and calculate retention metrics that guide product strategy. You'll benefit professionally by developing skills that make you invaluable to product teams and growth organizations. What makes this unique is the integration of unsupervised learning, experimental design, and survival analysis - combining technical data science skills with business-focused analytics. You'll work with real user data to create actionable insights that drive user engagement and optimize product performance across different acquisition channels

• Apply k-means clustering to segment users and build actionable profiles
• Design A/B tests with power analysis and identify common biases
• Calculate N-day and rolling retention metrics to assess engagement
• Build Kaplan-Meier survival curves to analyze retention statistically

• Basic familiarity with the topic and its terminology
• Readiness to practice through applied exercises or case-based work