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Course Outline
I. Introduction to Mixpanel
1. Overview of Product Analytics
- Fundamentals of product analytics
- Analyzing user behavior patterns
- Key features and capabilities of Mixpanel
- Typical business applications
- Distinguishing product analytics from traditional web analytics
2. Core Mixpanel Concepts
- Events
- Users and profiles
- Properties
- Cohorts
- Funnels
- Retention
- Sessions and user journeys
II. Getting Started with Mixpanel
1. Project Setup and Configuration
- Account creation for Mixpanel
- Initiating a new project
- Reviewing project settings
- User management and permission control
2. Navigating the Mixpanel Interface
- Dashboard overview
- Report navigation and structure
- Data organization methods
- Workspace customization options
III. Implementing Mixpanel
1. Event Tracking Fundamentals
- Structuring an event taxonomy
- Defining specific events and properties
- Applying naming conventions and best practices
- Tracking specific user actions
2. Mixpanel Implementation Details
- Instrumenting applications for tracking
- Transmitting event data
- Verifying data capture
- Debugging common implementation errors
IV. Understanding Event Data
1. Working with Event Data
- Event structure and composition
- Event-specific properties
- User-level properties
- Considerations for data quality
- Managing historical data records
2. Exploring Live Data
- Utilizing the Live View feature
- Monitoring real-time incoming events
- Validating tracking implementation
- Resolving tracking discrepancies
V. Product and User Analysis
1. Analyzing User Behavior
- Conducting event analysis
- Segmenting user bases
- Mapping user journeys
- Recognizing behavioral patterns
- Spotting engagement trends
2. Funnel Analysis
- Constructing conversion funnels
- Calculating drop-off rates
- Pinpointing process bottlenecks
- Enhancing conversion efficiency
3. Retention Analysis
- Tracking user retention metrics
- Performing cohort analysis
- Understanding the user lifecycle
- Detecting churn patterns
VI. Reporting and Dashboards
1. Creating Reports
- Generating Insights reports
- Producing Funnel reports
- Compiling Retention reports
- Generating User reports
- Comparing performance metrics over time
2. Building Dashboards
- Designing custom dashboards
- Sharing dashboard access
- Tailoring visualizations
- Monitoring key performance indicators (KPIs)
VII. Mixpanel Administration
1. Project Administration
- Managing user access and permissions
- Configuring project parameters
- Addressing data governance needs
- Basics of privacy and compliance
2. Best Practices
- Designing scalable event schemas
- Ensuring data consistency
- Optimizing analytics workflows
- Avoiding common implementation pitfalls
VIII. Summary and Next Steps
1. End-to-End Analytics Exercise
- Project initialization
- Executing event tracking setup
- Verifying collected data accuracy
- Constructing reports and dashboards
- Analyzing user behavior and conversion funnels
2. Course Review
- Recap of essential Mixpanel concepts
- Recommendations for analytics implementation
- Best practices for product analytics
- Q&A session and future steps
Requirements
- No prior experience or prerequisites are necessary
Intended Audience
- Data and business analysts
- Project managers
- Professionals seeking to acquire Mixpanel skills for data analytics
7 Hours
Testimonials (1)
It felt very well paced and Yashank was a great trainer!