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Product Intelligence: Unlock Insights for Product Success Specialization

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Coursera

Product Intelligence: Unlock Insights for Product Success Specialization

Analyze Product Data to Drive Growth. Transform user data into strategic product decisions through systematic analytics and testing.

Hurix Digital
John Whitworth

Instructors: Hurix Digital

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Diagnose product performance through funnel analysis, churn investigation, and engagement metrics to uncover growth opportunities

  • Design rigorous A/B tests and statistical monitoring systems that validate features and detect performance changes early

  • Translate complex data into prioritized roadmaps and compelling narratives that drive stakeholder alignment and action

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Taught in English
Recently updated!

January 2026

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Specialization - 4 course series

What you'll learn

  • Product analytics succeeds when user interactions are interpreted systematically to build tracking frameworks that capture behavioral signals.

  • Funnel analysis requires methodical segmentation and comparative analysis to isolate the precise interaction points causing conversion drops.

  • Root cause analysis requires linking metric changes to specific events & drilling into user segments & context to find what triggered regression.

  • Sustainable product optimization requires standardized event taxonomies and consistent measurement frameworks to support reliable trend analysis.

Skills you'll gain

Category: Customer Insights
Category: User Flows
Category: Regression Analysis
Category: Analytics
Category: User Story
Category: Root Cause Analysis
Category: Statistical Analysis
Category: Analysis
Category: Data Capture
Category: Business Analysis
Category: Performance Analysis
Category: Product Management
Category: Data Presentation
Category: Performance Metric
Category: Key Performance Indicators (KPIs)
Category: Customer Analysis
Category: Web Analytics
Category: Business Analytics
Category: Consumer Behaviour
Category: Advanced Analytics

What you'll learn

  • Funnel-based forecasting transforms initiative evaluation from speculation to systematic analysis, enabling teams to predict outcomes before resource

  • Structured prioritization matrices eliminate decision-making bias and create transparent, reproducible frameworks for resource allocation across com

  • Visual workshop facilitation skills are as critical as analytical capabilities when translating data insights into actionable team alignment and stra

  • Quantitative impact modeling provides the foundation for scaling decision-making processes beyond individual expertise to systematic organizational c

Skills you'll gain

Category: Resource Allocation
Category: Performance Metric
Category: Business Priorities
Category: Project Estimation
Category: Forecasting
Category: Data-Driven Decision-Making
Category: Project Planning
Category: Spreadsheet Software
Category: Benchmarking
Category: Product Strategy
Category: Stakeholder Engagement
Category: Estimation
Category: Data Analysis
Category: Prioritization
Category: Customer Acquisition Management
Category: Analytics
Category: Business Modeling

What you'll learn

  • Effective data storytelling uses clear narratives that lead audiences from problem to actionable solution.

  • Linking quantitative segments with qualitative personas strengthens frameworks for strategic prioritization.

  • Analytics pros blend technical skill with storytelling to turn insights into organizational influence.

  • Data-driven decisions need analytical rigor and clear narratives to gain stakeholder buy-in and success.

Skills you'll gain

Category: Data-Driven Decision-Making
Category: Presentations
Category: User Research
Category: Stakeholder Communications
Category: Quantitative Research
Category: Customer Insights
Category: Persona Development
Category: Data Presentation
Category: Strategic Prioritization
Category: Business Analytics
Category: Data Storytelling
Category: Analytics

What you'll learn

  • DAU/WAU stickiness ratios reveal real engagement frequency, offering deeper insight than raw user counts.

  • Statistical process control methods separate normal variation from true performance changes.

  • Setting benchmarks and control limits ensures accurate analysis of engagement and anomalies.

  • Systematic monitoring frameworks transform reactive analytics into predictive intelligence that guides strategic product decisions.

Skills you'll gain

Category: Business Metrics
Category: Performance Analysis
Category: Data Analysis
Category: Strategic Decision-Making
Category: Analytics
Category: Business Analytics
Category: Benchmarking
Category: Anomaly Detection
Category: Statistical Process Controls
Category: Statistical Reporting
Category: Statistical Analysis
Category: Customer Engagement
Category: Web Analytics
Category: Statistical Methods
Category: Descriptive Analytics
Category: Performance Metric

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Instructors

Hurix Digital
Coursera
176 Courses5,154 learners

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