Measure customer journeys, design trustworthy experiments and turn behavioral metrics into testable product decisions. 1. Who can join Suitable for: Product managers, growth analysts, marketers and data professionals Mandatory prerequisites: Comfort with spreadsheets and descriptive statistics 2. Duration 36 live hours • Approximately 6 weeks at 6 hours per week; actual timetable to be confirmed. 3. Mode Classroom - Thaiyur / Kelambakkam, OMR Chennai (subject to schedule) Live Online (subject to schedule)
4. Syllabus — five modules
Module 1: Product Metrics Framework: North Star Metric, Retention, Activation & CAC/LTV Learning outcome: Define product north-star, activation and retention metrics. Module 2: Cohort Analysis & Funnel Visualization for SaaS & E-Commerce Learning outcome: Visualize cohorts and conversion funnels. Module 3: Statistical Foundations of A/B Testing: Sample Size, p-values & Power Analysis Learning outcome: Estimate sample sizes and interpret statistical uncertainty. Module 4: Designing, Running & Analyzing Controlled Experiments Learning outcome: Design and analyze a controlled product experiment. Module 5: RFM (Recency, Frequency, Monetary) Segmentation & Targeting Strategy Learning outcome: Segment customers with recency, frequency and monetary value. 5. Practical project Source capstone title: Design an A/B Testing Experiment & Analyze Product Conversion Funnels Student deliverable: An A/B-test plan and analysis report for a sample conversion funnel, plus customer segments and suggested follow-up experiments.
6. What is included Live trainer-led sessions Practical assignments Sample code or templates, as applicable Project feedback Learning assessment Perizona course-completion certificate subject to assessment 7. Upcoming batch Start date: To be announced. Students can register interest; dates are shared only after confirmation.
