courseraАнализ данных

Analyze Users & Optimize Product Retention

Курс от Coursera

Средний≈ 2.5 чАнглийский

О курсе

Transform your product analytics capability with advanced user segmentation and retention optimization techniques. This course empowers data analysts to move beyond surface-level metrics to uncover deep behavioral patterns that drive product success. By completing this course, you'll master the application of k-means clustering to identify distinct user segments and gain the analytical sophistication to evaluate rolling-cohort versus N-day retention methods for strategic decision-making. You'll learn to profile power users through RFM analysis, create compelling data narratives for stakeholders, and publish technical guidance that elevates your team's analytical capabilities. This course is unique because it bridges the gap between technical implementation and business impact, teaching you to transform raw user data into actionable product insights that directly influence retention and growth strategies. To be successful in this course, you should have experience with data analytics, basic understanding of machine learning concepts, and familiarity with Python or similar analytical tools.

Навыки, которые вы освоите

Customer Retention Data-Driven Decision-Making Advanced Analytics Applied Machine Learning Performance Measurement Technical Documentation Knowledge Transfer Data Presentation Strategic Decision-Making Unsupervised Learning Data Storytelling Machine Learning Algorithms Customer Insights Data Analysis Product Strategy Customer Analysis

Программа курса

2 модулей · 13 учебных материалов

01Module 1: User Clustering Analysis - Foundation6 материалов

Why Customer Segmentation Drives Product SuccessВидео K-Means Clustering Fundamentals for Customer AnalyticsЧтение RFM Analysis Framework: Strategic Customer Segmentation for Product AnalyticsЧтение K-Means Customer Segmentation: Coach Dialogue ScriptDIALOGUE

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Professionals in the Industry

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