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PostHog for Product Analytics, Feature Flags & AB Testing
PostHog for Product Analytics, Feature Flags & AB Testing
Published 6/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 46m | Size: 2.98 GB
Build production-grade analytics with PostHog using event tracking, cohorts, retention, A/B testing, and feature flags.
What you'll learn
Understand the fundamentals of product analytics, SaaS metrics, and event-driven data collection.
Design robust tracking plans, event taxonomies, and analytics instrumentation strategies for modern applications.
Configure and implement PostHog in both cloud and self-hosted environments.
Instrument frontend and backend applications using PostHog SDKs and server-side event pipelines.
Build reliable identity management, user tracking, and revenue analytics frameworks.
Implement schema governance, versioning, data quality controls, and event validation processes.
Design and manage feature flags, progressive rollouts, targeting rules, and kill-switch mechanisms.
Conduct A/B tests, analyze experiment results, and make data-driven product decisions.
Create funnels, retention reports, cohorts, and behavioral insights to optimize user engagement.
Apply privacy, compliance, and analytics governance best practices in production environments.
Build an end-to-end SaaS analytics solution using PostHog through a real-world implementation case study.
Gain practical experience with production-grade analytics architectures used by modern product teams.
Requirements
Enthusiasm and determination to make your mark on the world!
Description
A warm welcome toPostHog for Product Analytics, Feature Flags & A/B Testingcourse byUplatz.
What is PostHog?PostHogis an open-source Product Analytics, Feature Management, Session Replay, Experimentation, and User Behavior Analytics platform that helps companies understand how users interact with their applications.
Think of PostHog as a combination of several tools in one platform
- Product Analytics (similar to Mixpanel or Amplitude)
- Session Replay (similar to Hotjar)
- Feature Flags (similar to LaunchDarkly)
- A/B Testing and Experimentation
- Surveys and User Feedback
- Data Warehouse & Event Analytics
- Error Tracking and Observability
It is particularly popular among startups and engineering-driven companies because it can be self-hosted or used as a managed cloud service.
Why Do Companies Use PostHog?
Suppose you build a SaaS application.
You may want answers to questions such as
- How many users signed up today?
- Which features are most frequently used?
- Where do users drop off during onboarding?
- Which marketing campaign generated paying customers?
- Does a new feature improve retention?
- How many users upgraded from free to paid plans?
PostHog helps answer these questions through event-based analytics.
PostHog Course
Description
Modern product teams rely on data to make decisions, improve user experiences, increase retention, and accelerate growth. Product analytics has become one of the most important disciplines in software development, SaaS businesses, startups, and digital products.
PostHog has emerged as one of the leading open-source product analytics platforms, providing powerful capabilities for event tracking, user analytics, session replay, feature flags, experimentation, surveys, and product intelligence.
In this comprehensive course, you will learn how to implement PostHog from the ground up and use it to build production-grade analytics systems.
We begin with the fundamentals of product analytics, SaaS metrics, tracking strategies, and event taxonomy design. You will then learn how to deploy and configure PostHog, instrument applications using SDKs, collect user events, and build robust analytics pipelines.
The course goes beyond simple dashboard creation and covers advanced engineering concepts including
- Event schema governance
- Identity management
- Server-side event pipelines
- Revenue event modeling
- Feature flag architecture
- Experimentation frameworks
- Drift detection and data quality controls
- Privacy and compliance engineering
You will also learn how to analyze user behavior using funnels, cohorts, retention analysis, and A/B testing to drive better product decisions.
Finally, we bring everything together through an end-to-end SaaS analytics implementation case study where you will see how modern companies design and operate production-ready analytics systems.
Whether you are a Product Manager, Data Analyst, Growth Manager, Startup Founder, Analytics Engineer, or Software Developer, this course will provide practical skills that can immediately be applied in real-world products.
Why Learn PostHog?
PostHog combines multiple product tools into a single platform
- Product Analytics
- Event Tracking
- Session Replay
- Feature Flags
- A/B Testing
- User Surveys
- Retention Analytics
- Funnel Analysis
- Cohort Analysis
- Product Intelligence
Instead of managing multiple analytics tools, organizations can centralize product insights within a single platform.
PostHog - Course Curriculum
Module 1: Introduction to Product Analytics & PostHog
- Product Analytics Fundamentals & SaaS Metrics
- Designing a Tracking Strategy & Event Taxonomy
- PostHog Architecture, Cloud vs Self-Hosted & Setup
Module 2: Navigating PostHog & Core Analytics Concepts
- Events, Users, Insights & Cohorts
- PostHog Interface Deep Dive
Module 3: Analytics Implementation Foundations
- Environment Setup & Architectural Foundation
- SDK Initialization & Identity Management
- Event Catalog Governance
- SPA Tracking & Production Hardening
Module 4: Backend Event Tracking & Revenue Analytics
- Server-Side Event Pipelines
- Revenue Lifecycle Modeling
- Identity Alignment & Security Hardening
Module 5: Event Governance & Quality
- Schema Versioning
- Drift Detection & Enforcement Automation
Module 6: Feature Flags & Progressive Delivery
- Feature Flag Architecture
- Safe Rollouts & Kill Switches
- Governance & Technical Debt Management
Module 7: Experimentation with PostHog
- A/B Testing Frameworks
Module 8: Funnels, Retention & Cohort Analytics
- Funnel Engineering
- Retention Analysis
- Cohort Design
Module 9: Privacy & Governance
- Privacy Engineering
- Compliance & Data Governance
Module 10: Capstone Project
- End-to-End SaaS Analytics Implementation Case Study
Why Take This Course?
By the end of this course, you will understand how modern companies collect, govern, analyze, and act upon product data using one of the fastest-growing open-source analytics platforms available today.
You will gain practical knowledge that can be applied to SaaS products, web applications, mobile applications, startups, and enterprise systems alike.
If you want to master product analytics, feature management, experimentation, and user behavior analysis using PostHog, this course is for you.
Who this course is for
Product Managers who want to make data-driven product decisions using analytics and experimentation.
Product Analysts seeking to master event tracking, funnels, cohorts, retention analysis, and SaaS metrics.
Data Analysts looking to work with product usage data and behavioral analytics platforms.
Growth Managers and Growth Marketers interested in user acquisition, activation, retention, and conversion optimization.
Software Engineers responsible for implementing analytics instrumentation in web and backend applications.
Full Stack Developers who want to integrate PostHog tracking, feature flags, and experimentation into their products.
Startup Founders and SaaS Entrepreneurs who want to understand user behavior and improve product adoption.
Analytics Engineers building scalable tracking architectures, event taxonomies, and governance frameworks.
Engineering Managers and Technical Leads responsible for analytics infrastructure and data quality.
Anyone interested in learning modern product analytics, experimentation, feature management, and user behavior analysis using PostHog.
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