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.
User Segmentation, Experimentation, and Retention Analytics
User Segmentation, Experimentation, and Retention Analytics
包含在 中
您将学到什么
Apply k-means clustering to segment users and create actionable profiles that inform targeted marketing strategies and product decisions.
Design A/B tests with proper power analysis and identify common biases that can invalidate experimental results and business insights.
Calculate and compare N-day vs rolling retention metrics to evaluate user engagement and distinguish between seasonal and churn patterns.
Build Kaplan-Meier survival curves to analyze retention across user groups and determine statistical significance of differences.
您将获得的技能
- Analysis
- Customer Analysis
- User Research
- Unsupervised Learning
- Marketing Analytics
- Performance Measurement
- Customer Insights
- Product Management
- Sample Size Determination
- Statistical Analysis
- Business Intelligence
- Statistical Inference
- Analytics
- Strategic Decision-Making
- Data-Driven Decision-Making
- Trend Analysis
- Algorithms
- Customer Retention
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Product Analytics Unlocked: Metrics to Meaningful Insight 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有8个模块
You will learn k-means clustering implementation using scikit-learn to segment users based on RFM variables, enabling them to create data-driven user profiles that inform product strategy and targeted interventions.
涵盖的内容
1个视频2篇阅读材料2个作业
You will analyze different retention calculation methodologies, understand their strategic implications, and create technical recommendations that guide data-driven retention strategy decisions in product analytics contexts.
涵盖的内容
2个视频1篇阅读材料3个作业
You will systematically identify and assess bias sources that compromise A/B test validity, focusing on novelty effects and exposure inequality detection.
涵盖的内容
3个视频1篇阅读材料2个作业
You will apply power analysis principles to calculate appropriate sample sizes and design experiments that reliably detect meaningful business impacts.
涵盖的内容
3个视频1篇阅读材料3个作业
You will move beyond “vanity metrics” to master Cohort Analysis—the essential framework for measuring how effectively your product retains users over time. By grouping users based on shared characteristics, most commonly their acquisition date, you will construct and interpret Cohort Heatmaps to track behavior patterns and pinpoint exactly where users drop off in their lifecycle. This approach provides the mathematical clarity needed to separate temporary growth spikes from true product-market fit, enabling you to calculate precise Retention Rates and visualize the “long tail” of user stability through Retention Curves.
涵盖的内容
2个视频2篇阅读材料2个作业
You will move beyond simple tracking to diagnose the "shape" of your user behavior and identify the underlying drivers of long-term loyalty. In this section, we analyze the specific geometry of your retention curves—distinguishing between the "Sinking Ship" of a declining curve and the "Growth Engine" of a flattened or "smiling" curve—to determine if your product has achieved true product-market fit. You will learn to perform behavioral layering to uncover the "Aha! Moment," that specific set of actions that separates your power users from those who churn, allowing you to optimize the user journey around the activities that mathematically correlate with the highest lifetime value.
涵盖的内容
2个视频2篇阅读材料2个作业
You will apply Kaplan-Meier survival analysis to evaluate user retention patterns over time, create survival plots in R with statistical testing to compare groups, and integrate analytical findings into experiment readouts that mirror real-world data analyst deliverables for stakeholder communication.
涵盖的内容
2个视频2篇阅读材料3个作业
You will conduct a comprehensive product analytics project that integrates user segmentation, experimentation design, and retention analysis to deliver actionable insights for optimizing product engagement and user retention strategies.
涵盖的内容
4篇阅读材料1个作业
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