User Retention Analytics

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.

Unlock the power of cohort analysis to transform raw user data into actionable retention insights that drive business growth. This course empowers data professionals to systematically segment users by acquisition channels, calculate meaningful retention metrics, and diagnose the true drivers behind user churn patterns. This Short Course was created to help data analysts accomplish strategic user retention optimization through advanced cohort analysis techniques. By completing this course, you'll be able to confidently build Looker explores that reveal sticky user segments, overlay retention curves with business events to identify seasonal patterns, and distinguish between temporary user fatigue and long-term engagement decline. These skills enable you to provide data-driven recommendations that directly impact product-market fit and marketing spend optimization. By the end of this course, you will be able to: Apply cohort analysis to calculate user retention segmented by acquisition channel Analyze retention curves to distinguish between user fatigue and seasonal effects This course is unique because it combines hands-on technical implementation in Looker with strategic business analysis, enabling you to bridge the gap between data extraction and actionable business insights. To be successful in this course, you should have a background in data analysis fundamentals and basic familiarity with business intelligence tools.

Course Description: Design and Optimize User Funnels Did you know that even small improvements in funnel efficiency can increase conversion rates by up to 30%? Understanding where users drop off—and why—is the secret to turning engagement into measurable growth. This Short Course was created to help professionals in this field leverage interactive dashboard and funnel analytics to optimize conversion rates and eliminate friction points in digital customer journeys. By completing this course, you will be able to design and refine user funnels that highlight critical activation events, uncover process inefficiencies, and streamline customer paths for higher engagement and conversion—skills you can apply immediately to enhance digital performance. By the end of this 3-hour long course, you will be able to: Apply criteria to select critical activation events for a user funnel. Evaluate process funnels to identify redundancies and recommend consolidation. This course is unique because it combines data analytics with behavioral insight, teaching you how to translate complex funnel data into clear strategies that boost conversion and improve the overall user experience. To be successful in this project, you should have: - Data analytics experience - User journey mapping basics - Analytics platform familiarity - Understanding of conversion metrics

Transform raw user retention data into compelling visual narratives that drive business decisions. This course empowers data analysts to master the art and science of retention visualization through advanced heatmap techniques and rigorous accessibility evaluation. You'll learn to calculate cohort retention rates, render time-based heatmaps with strategic event annotations, and critically assess visualizations for clarity, accessibility, and accuracy. By completing this course, you'll confidently create visualizations that not only capture complex behavioral patterns but also communicate insights effectively to diverse stakeholders while meeting accessibility standards. This course is unique because it combines technical visualization skills with accessibility expertise, ensuring your data stories reach and resonate with all audiences. To be successful in this course, you should have experience with data analytics tools like Tableau, understanding of user retention concepts, and familiarity with basic statistical analysis.

Unlock the power of data storytelling through interactive dashboard design that transforms raw stakeholder requests into meaningful business insights. This course empowers data analysis professionals to bridge the critical gap between business needs and technical implementation, teaching you to systematically decode KPI requests, create comprehensive dashboard specifications, and build self-service funnel visualizations that enable stakeholders to independently explore their data. By completing this course, you'll master the art of translating complex business requirements into clear technical blueprints and construct interactive dashboards that reveal user behavior patterns, conversion bottlenecks, and growth opportunities. You'll gain hands-on experience with modern dashboard tools while learning to design intuitive interfaces that encourage data-driven decision making across your organization. By the end of this course, you will be able to: Understand stakeholder key performance indicator (KPI) requests to produce a dashboard specification. Create a self-service funnel dashboard with drill-through functionality. This course is unique because it combines strategic requirements gathering with hands-on technical implementation, giving you both the analytical mindset and practical skills needed to deliver dashboards that truly serve business objectives. To be successful in this course, you should have experience with data analysis tools and basic understanding of business metrics and KPIs.

Master the critical transition from raw data chaos to analytical clarity. This course transforms your ability to navigate the complex landscape of SQL dialects while building powerful data aggregation skills that turn millions of event records into actionable insights. You'll discover how subtle syntax differences between ANSI-SQL and Spark-SQL can make or break your analytical queries, then harness the full power of Pandas to group, aggregate, and restructure massive datasets with precision and speed. By completing this course, you'll confidently write portable analytical queries across different data platforms, troubleshoot dialect-specific issues that stump other analysts, and transform continuous event streams into structured time-series datasets ready for advanced analytics. By the end of this course, you will be able to: Identify syntactic differences for window functions between ANSI-SQL and Spark-SQL Apply data aggregation techniques to summarize event data This course is unique because it bridges the critical gap between theoretical SQL knowledge and real-world data platform challenges, giving you the practical skills to work seamlessly across different analytical environments. To be successful in this course, you should have basic SQL knowledge and familiarity with data analysis concepts.

User retention is the difference between thriving products and those that fade into obscurity. Yet 73% of product teams struggle to choose the right retention metrics, leading to misguided strategies and missed opportunities. This Short Course was created to help data analysis professionals master the critical distinction between retention measurement approaches and apply survival analysis to uncover actionable user insights. This course is unique because it bridges the gap between statistical theory and practical product analytics, providing hands-on experience with R-based survival analysis that you can immediately apply to real user datasets. To be successful in this project, you should have a background in basic data analysis and familiarity with statistical concepts.