Overview
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Develop the complete product analytics skillset needed to bridge technical execution with strategic business impact. Through this four-course program, you'll learn to build robust SQL-based data pipelines, apply advanced statistical techniques like clustering algorithms and A/B testing, and create compelling analytical narratives that influence product roadmaps.
You'll gain hands-on experience with user segmentation, retention optimization through survival modeling, funnel analysis, and strategic prioritization frameworks like RICE scoring. Beyond technical proficiency, you'll develop critical communication skills to translate complex data findings into actionable business recommendations using structured storytelling approaches.
Each course builds progressively from foundational data infrastructure through advanced behavioral analysis to strategic decision-making, preparing you for senior roles in product analytics, growth analytics, and data-driven product management. By completion, you'll possess the integrated capabilities that top product teams depend on: technical depth with SQL, Python, and statistical modeling combined with strategic thinking and presentation skills that directly impact business outcomes and product direction.
Syllabus
- Course 1: Data Pipelines and SQL for Product Analytics
- Course 2: User Segmentation, Experimentation, and Retention Analytics
- Course 3: Dashboarding and Funnel Analytics for Product Insights
- Course 4: Product Analytics for Prioritization & Data-Driven Decisions
Courses
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You'll build expertise in transforming raw user data into actionable product insights through interactive dashboards and funnel analytics. By completing this course, you'll gain the ability to translate stakeholder requirements into technical specifications, create self-service analytics tools, and identify optimization opportunities that drive business growth. You'll develop proficiency in retention analysis using heatmaps, design user activation funnels, and apply statistical methods to detect meaningful trends in engagement metrics. This hands-on course uniquely combines business requirements gathering with advanced visualization techniques and predictive analytics, preparing you to bridge the gap between technical analysis and strategic decision-making. You'll work with real-world scenarios involving user journey mapping, channel performance analysis, and correlation studies that validate key business metrics. Upon completion, you'll possess the comprehensive skill set needed for product analytics, marketing optimization, and data-driven user experience roles.
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Learn to build complete data pipelines that transform raw event data into actionable insights using SQL and Pandas. You'll gain the skills to design efficient star schemas, implement Type-2 slowly changing dimensions for historical tracking, and optimize database performance for analytical workloads. This course uniquely combines hands-on experience with massive datasets (10+ million rows) and practical exposure to multiple SQL dialects including Presto and Spark. You'll benefit professionally by developing the core competencies that product analytics teams depend on daily - from data transformation and pipeline architecture to performance optimization. By completion, you'll confidently tackle real-world data engineering challenges and contribute immediately to business intelligence initiatives in product analytics roles.
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You'll develop expertise in transforming user behavior data into strategic product decisions through comprehensive analytics and prioritization frameworks. By completing this course, you'll gain the ability to design tracking systems, diagnose conversion funnel issues, and apply structured prioritization methods like RICE scoring to guide product roadmaps. You'll learn to analyze churn patterns, create success criteria for new features, and build predictive models to forecast product impact. This hands-on course uniquely combines technical analytics skills with strategic business thinking, teaching you to communicate insights through compelling data stories using the Situation-Complication-Resolution framework. You'll work with real-world scenarios involving user journey mapping, hypothesis-driven analysis, and model selection trade-offs between decision trees and logistic regression. Upon completion, you'll possess the comprehensive analytical toolkit needed for product management, growth analytics, and data-driven strategy roles where technical proficiency meets business impact.
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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.
Taught by
Professionals from the Industry