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Course Outline
I. Introduction to Mixpanel
1. Overview of Product Analytics
- Introduction to the field of product analytics
- Gaining insight into user behavior analytics
- Exploring key features and capabilities of Mixpanel
- Common business applications
- Distinguishing product analytics from traditional web analytics
2. Understanding Mixpanel Concepts
- Events
- Users and profiles
- Properties
- Cohorts
- Funnels
- Retention
- Sessions and user journeys
II. Getting Started with Mixpanel
1. Creating and Configuring a Project
- Setting up a Mixpanel account
- Establishing a new project
- Reviewing project settings
- Administering users and permissions
2. Navigating the Mixpanel Interface
- Dashboard overview
- Accessing reports and navigating menus
- Organizing data
- Personalizing the workspace
III. Implementing Mixpanel
1. Event Tracking Fundamentals
- Designing an event taxonomy
- Defining events and properties
- Establishing naming conventions and best practices
- Tracking user actions
2. Mixpanel Implementation
- Instrumenting applications
- Transmitting event data
- Confirming data collection
- Resolving implementation errors
IV. Understanding Event Data
1. Working with Event Data
- Event structure
- Event properties
- User properties
- Considerations for data quality
- Managing historical data
2. Exploring Live Data
- Utilizing Live View
- Monitoring incoming events
- Validating implementation
- Diagnosing tracking issues
V. Product and User Analysis
1. Analyzing User Behavior
- Event analysis
- User segmentation
- User journeys
- Behavioral patterns
- Recognizing engagement trends
2. Funnel Analysis
- Constructing conversion funnels
- Assessing drop-off rates
- Locating bottlenecks
- Enhancing conversion performance
3. Retention Analysis
- Evaluating user retention
- Cohort analysis
- Comprehending the user lifecycle
- Detecting churn patterns
VI. Reporting and Dashboards
1. Creating Reports
- Insights reports
- Funnel reports
- Retention reports
- User reports
- Comparing performance over time
2. Building Dashboards
- Creating dashboards
- Sharing dashboards
- Customizing visualizations
- Tracking key performance indicators (KPIs)
VII. Mixpanel Administration
1. Project Administration
- Overseeing users and access
- Configuring projects
- Data governance considerations
- Basics of privacy and compliance
2. Best Practices
- Designing scalable event schemas
- Ensuring data consistency
- Optimizing analytics workflows
- Common implementation pitfalls to avoid
VIII. Summary and Next Steps
1. End-to-End Analytics Exercise
- Setting up a project
- Implementing event tracking
- Verifying collected data
- Creating reports and dashboards
- Analyzing user behavior and conversion funnels
2. Course Review
- Recap of key Mixpanel concepts
- Recommendations for analytics implementation
- Best practices for product analytics
- Q&A and next steps
Requirements
- No prior experience or prerequisites are required
Audience
- Data and business analysts
- Project managers
- Anyone seeking to learn Mixpanel for data analytics purposes
7 Hours
Testimonials (1)
It felt very well paced and Yashank was a great trainer!