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.

Dashboarding and Funnel Analytics for Product Insights
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Dashboarding and Funnel Analytics for Product Insights
This course is part of Product Analytics Unlocked: Metrics to Meaningful Insight Specialization

Instructor: Professionals from the Industry
Included with
Recommended experience
What you'll learn
Build interactive dashboards that translate business KPI requests into self-service analytics tools with drill-through functionality.
Create retention heatmaps with event annotations and evaluate visualizations for accessibility and clarity improvements.
Design optimized user activation funnels by selecting critical events and identifying process redundancies for consolidation.
Apply statistical methods to analyze engagement metrics and validate predictive relationships between activation and retention.
Details to know

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March 2026
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There are 11 modules in this course
You will learn the critical skill of translating ambiguous business requests into clear technical blueprints for dashboard development.
What's included
2 videos2 readings1 assignment
You will build interactive dashboard solutions that enable autonomous data exploration through funnel visualization and drill-through capabilities.
What's included
2 videos4 readings3 assignments
You will learn the foundational skills for creating effective retention heatmaps by understanding their business value, learning key visualization techniques, practicing heatmap creation in Tableau, and applying event annotation strategies to real user behavior data.
What's included
2 videos1 reading2 assignments
You will learn the systematic evaluation of data visualizations by understanding accessibility requirements, learning evaluation methodologies, practicing with accessibility tools, and applying comprehensive assessment techniques to ensure visualizations communicate effectively to all audiences.
What's included
2 videos2 readings2 assignments
You will develop systematic approaches for identifying the most impactful activation events in user funnels using data-driven criteria and the Amplitude analytics platform.
What's included
1 video1 reading2 assignments
You will learn techniques for analyzing complex process flows, identifying overlapping steps like "add_to_cart" & "start_checkout", and creating data-driven consolidation strategies using real-world case studies.
What's included
2 videos1 reading3 assignments
You will learn the mathematical foundations and industry benchmarks for calculating DAU/WAU stickiness ratios, enabling them to distinguish between surface-level metrics and meaningful user engagement patterns.
What's included
4 videos1 reading1 assignment
You will learn control chart analysis and statistical process control methods to distinguish between natural variation and significant performance changes in session-depth metrics.
What's included
3 videos1 reading3 assignments
You will learn foundational segmentation techniques to analyze user activation data by acquisition channels, enabling identification of which sources deliver the most engaged users.
What's included
3 videos1 reading2 assignments
You will learn advanced statistical techniques to validate whether activation behaviors genuinely predict long-term user retention, enabling evidence-based product optimization decisions.
What's included
3 videos1 reading3 assignments
You create a comprehensive product analytics dashboard that integrates user funnel analysis, retention visualization, engagement monitoring, and activation tracking to provide actionable insights for product optimization decisions.
What's included
3 readings1 assignment
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