Cohort Analysis
Course Index
28 Lessons · 3 Sections
Master Cohort Analysis — grouping users by shared characteristics and tracking their behaviour over time to reveal product health beyond aggregate metrics. Covers retention heatmaps, churn cohorts & predictive modelling across SQL, Mixpanel & Amplitude. Includes 4 builds: user retention cohort, revenue LTV cohort, churn cohort report & mobile app retention dashboard.
28Lessons
3Sections
4Projects
FreeAccess
Section 1Cohort Analysis FundamentalsLessons 1–10
Lesson 1
What is Cohort Analysis? Definition & Use Cases
Lesson 2
Types of Cohorts: Acquisition, Behavioural & Predictive
Lesson 3
Building Cohort Tables in SQL
Lesson 4
User Retention Cohorts: Day 1, 7 & 30 Retention
Lesson 5
Revenue Cohorts: LTV by Acquisition Month
Lesson 6
Churn Cohorts: Identifying Drop-Off Patterns
Lesson 7
Visualising Cohort Data: Heatmaps & Line Charts
Lesson 8
Cohort Analysis with Python: Pandas & Seaborn
Lesson 9
Cohort Analysis in Google Analytics 4
Lesson 10
Interpreting Cohort Results: What Good Looks Like
Section 2Domain Applications & ToolsLessons 11–22
Lesson 11
Cohort Analysis for SaaS: MRR & Churn Cohorts
Lesson 12
Cohort Analysis for E-Commerce: Purchase Behaviour
Lesson 13
Cohort Analysis for Mobile Apps
Lesson 14
Cohort Analysis in Power BI & DAX
Lesson 15
Cohort Analysis in Tableau
Lesson 16
Cohort Analysis in Mixpanel & Amplitude
Lesson 17
Predictive Cohort Analysis: ML-Based LTV Prediction
Lesson 18
Cohort Analysis with BigQuery & dbt
Lesson 19
Statistical Significance in Cohort Analysis
Lesson 20
Cohort Size & Confidence: Avoiding False Conclusions
Lesson 21
Cohort Analysis vs A/B Testing vs Funnel Analysis
Lesson 22
Cohort Analysis in 2026: AI-Powered Cohorts
Section 3Anti-Patterns, Best Practices & ProjectsLessons 23–28