Module 1: Introduction to Product Analytics
Overview of Product Analytics
Product Analytics vs. Business Analytics
Roles and Responsibilities of a Product Analyst
Product Lifecycle Stages
UI vs. UX
Product Analytics Platforms and Tools
Module 2: Key Performance Indicators (KPIs)
Understanding KPIs
Quantitative vs. Qualitative Metrics
Product Performance Metrics
Conversion Rate
Churn Rate
Customer Lifetime Value (CLV)
KPI Dashboards
Aligning KPIs with Business Goals
Module 3: User Behavior and Conversion Funnels
User Personas
Customer Journey Mapping
Conversion Funnels
Funnel Optimization
Funnel Drop-off Analysis
Funnel Conversion Metrics
Module 4: User Interaction Tracking
Browser Developer Tools (Inspect Element)
Front-End Performance Analysis
UI Event Tracking
Click Tracking
Form Submission Tracking
Scroll Depth Analysis
Heatmaps and Click Maps
User Behavior Analysis
Module 5: A/B Testing and Experimentation
Fundamentals of A/B Testing
Experiment Design
Statistical Significance
Sample Size Calculation
T-Test with Python
Bootstrap Testing
Pre-test & Post-test Analysis
Best Practices for A/B Test Analysis
Module 6: Advanced Product Analytics
Cohort Analysis
Funnel Analysis
Data Privacy and Ethics (PII, GDPR, CCPA)
Ethical Data Collection and Compliance
Module 7: Web Analytics
Introduction to Web Analytics
Page Views, Sessions and Bounce Rate
Heatmaps and Fold Analysis
Traffic Source Analysis
User Demographics and Behavior Analysis
Web & Product Analytics Tools (e.g., Hotjar)
Module 8: Final Project