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Course Outline
I. Introduction to Mixpanel
1. Overview of Product Analytics
- Fundamentals of product analytics
- Insights into user behavior analytics
- Core features and capabilities of Mixpanel
- Typical business use cases
- Differentiating 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 Creation and Configuration
- Setting up a Mixpanel account
- Initiating a new project
- Reviewing project settings
- Administering users and permissions
2. Navigating the Mixpanel Interface
- Dashboard layout and overview
- Accessing reports and navigation
- Organizing data structures
- Personalizing the workspace
III. Implementing Mixpanel
1. Event Tracking Essentials
- Designing an event taxonomy
- Defining specific events and properties
- Adhering to naming conventions and best practices
- Capturing user actions
2. Mixpanel Implementation Process
- Instrumenting applications
- Transmitting event data
- Verifying data collection accuracy
- Resolving implementation issues
IV. Understanding Event Data
1. Working with Event Data
- Event structure and composition
- Event-specific properties
- User-level properties
- Ensuring data quality
- Handling historical data
2. Exploring Live Data
- Utilizing Live View
- Monitoring incoming event streams
- Validating implementation in real-time
- Diagnosing tracking problems
V. Product and User Analysis
1. Analyzing User Behavior
- Conducting event analysis
- Segmenting users for insights
- Mapping user journeys
- Recognizing behavioral patterns
- Spotting engagement trends
2. Funnel Analysis
- Constructing conversion funnels
- Calculating drop-off rates
- Identifying process bottlenecks
- Enhancing conversion metrics
3. Retention Analysis
- Tracking user retention rates
- Performing cohort analysis
- Evaluating the user lifecycle
- Detecting churn patterns
VI. Reporting and Dashboards
1. Creating Reports
- Generating insights reports
- Creating funnel reports
- Producing retention reports
- Developing user reports
- Benchmarking performance over time
2. Building Dashboards
- Assembling dashboards
- Sharing dashboard views
- Tailoring visualizations
- Monitoring key performance indicators (KPIs)
VII. Mixpanel Administration
1. Project Administration
- Controlling user access and management
- Configuring project parameters
- Addressing data governance
- Understanding privacy and compliance basics
2. Best Practices
- Creating scalable event schemas
- Ensuring data consistency
- Streamlining analytics workflows
- Avoiding common implementation errors
VIII. Summary and Next Steps
1. End-to-End Analytics Exercise
- Establishing a new project
- Setting up event tracking
- Verifying data integrity
- Developing reports and dashboards
- Evaluating user behavior and conversion funnels
2. Course Review
- Recapping key Mixpanel concepts
- Providing implementation recommendations
- Highlighting product analytics best practices
- Q&A and future steps
Requirements
- No prior experience is required.
Target 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!