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PostHog

Learn product analytics and session recording with PostHog to track user behavior, run experiments, and build data-driven products.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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PostHog: Open-Source Product Analytics is a self-paced, hands-on course designed for developers, data analysts, product managers, and growth teams who want full control of their product analytics. This course teaches you how to set up PostHog, collect event data, analyze funnels, measure retention, and run experiments—all within an open-source, self-hosted environment.
 
At its core, PostHog is an open-source product analytics platform that combines event tracking, session recording, feature flags, and experimentation. Unlike proprietary tools, PostHog allows teams to self-host their analytics, giving them greater flexibility, privacy, and compliance.
 
The course starts with the basics of event tracking and dashboards, then progresses to advanced features like cohort analysis, A/B testing, and using feature flags. By the end, learners will be able to implement PostHog in real projects and leverage it for product growth.
What You Will Gain

  • Set up PostHog for product analytics and user tracking

  • Use funnels, cohorts, and retention analysis to study user behavior

  • Run A/B tests and experiments to validate product decisions

  • Record sessions to see how users interact with your app

  • Implement feature flags for controlled rollouts

Who This Course Is For
 
  •  
    Product Managers seeking data-driven decision making
     
  •  
    Developers wanting to implement open-source analytics
     
  •  
    Data Analysts analyzing user behavior and retention
     
  •  
    Growth Marketers testing product experiments
     
  •  
    Startups & Tech Teams needing in-house analytics solutions

Course Objectives Back to Top

By the end of this course, you will be able to:

  • Install and configure PostHog (cloud or self-hosted)

  • Track custom events and user properties

  • Build funnels to understand drop-offs and conversions

  • Analyze cohorts and retention curves

  • Run A/B tests and manage feature flags

  • Record and analyze user sessions for usability insights

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to PostHog
Module 2: Installation & Setup (Cloud vs Self-Hosted)
Module 3: Event Tracking & User Properties
Module 4: Funnels & Conversion Analysis
Module 5: Retention & Cohort Analysis
Module 6: Session Recording & Heatmaps
Module 7: Feature Flags & Experimentation
Module 8: Real-World Projects (SaaS Funnel, E-commerce Analytics)
Module 9: Dashboards & Reporting
Module 10: Interview Questions & Answers

Certification Back to Top

Upon completion, learners will receive a Certificate of Completion from Uplatz validating their expertise in open-source product analytics and experimentation with PostHog.

Career & Jobs Back to Top

This course prepares learners for roles such as:

  • Product Analyst

  • Growth Engineer

  • Data Analyst

  • Product Manager

  • Business Intelligence Specialist

Interview Questions Back to Top

  1. What is PostHog and how does it differ from Mixpanel or Amplitude?
    Answer: PostHog is open-source and self-hostable, giving teams full control of data, unlike Mixpanel and Amplitude which are cloud-hosted.

  2. What are the main features of PostHog?
    Answer: Event tracking, funnels, retention analysis, session recording, feature flags, and A/B testing.

  3. How does session recording help in PostHog?
    Answer: It records user interactions (clicks, scrolls, navigation), providing qualitative insights into usability issues.

  4. What are feature flags in PostHog?
    Answer: They allow teams to enable or disable features for specific users, enabling safe rollouts and testing.

  5. How can PostHog be deployed?
    Answer: PostHog can be used in the cloud (hosted by PostHog) or self-hosted using Docker/Kubernetes for full control.

  6. What is cohort analysis in PostHog?
    Answer: It groups users based on shared attributes or behavior to study retention and engagement patterns.

  7. How does PostHog support experimentation?
    Answer: It provides A/B testing frameworks and feature flagging to test different versions of a feature.

  8. What are the advantages of using open-source analytics like PostHog?
    Answer: Data ownership, privacy compliance, flexibility, and cost savings.

  9. What challenges might you face with PostHog?
    Answer: Setup complexity in self-hosting, maintaining infrastructure, and ensuring proper event tracking.

  10. How would you use PostHog in a SaaS product?
    Answer: To track onboarding funnels, measure feature adoption, run experiments, and analyze churn.

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BUY THIS COURSE (USD 17 USD 41)