Product Analytics Tools and Techniques Mastery Course Curriculum
Course Overview The Product Analytics Tools and Techniques Mastery course is a comprehensive and interactive program designed to equip professionals with the skills and knowledge required to drive business growth through data-driven product decisions. Upon completion, participants will receive a certificate issued by The Art of Service.
Course Outline Module 1: Introduction to Product Analytics
- Defining Product Analytics and its Importance
- Understanding the Role of Product Analysts
- Overview of Product Analytics Tools and Techniques
- Setting up a Product Analytics Framework
Module 2: Data Collection and Integration
- Identifying Data Sources for Product Analytics
- Implementing Data Collection Methods (e.g., Event Tracking, Surveys)
- Integrating Data from Multiple Sources (e.g., CRM, Web Analytics)
- Data Quality and Validation Techniques
Module 3: Data Analysis and Visualization
- Descriptive Statistics and Data Summarization
Module 1: Introduction to Product Analytics
- Defining Product Analytics and its Importance
- Understanding the Role of Product Analysts
- Overview of Product Analytics Tools and Techniques
- Setting up a Product Analytics Framework
Module 2: Data Collection and Integration
- Identifying Data Sources for Product Analytics
- Implementing Data Collection Methods (e.g., Event Tracking, Surveys)
- Integrating Data from Multiple Sources (e.g., CRM, Web Analytics)
- Data Quality and Validation Techniques
Module 3: Data Analysis and Visualization
- Descriptive Statistics and Data Summarization
Module 4: Product Metrics and KPIs
- Defining and Tracking Key Product Metrics (e.g., Activation, Retention)
- Establishing and Measuring Product KPIs (e.g., Revenue, Customer Satisfaction)
- Using Metrics to Inform Product Decisions
- A/B Testing and Experimentation Methodologies
Module 5: Advanced Analytics Techniques
- Predictive Modeling for Product Forecasting
- Clustering and User Segmentation Strategies
- Using Machine Learning for Product Recommendations
- Text Analysis and Sentiment Analysis for Product Feedback
Module 6: Product Analytics Tools
- Overview of Popular Product Analytics Tools (e.g., Mixpanel, Google Analytics)
- Using SQL for Data Extraction and Manipulation
- Implementing Product Analytics Tools in Real-World Scenarios
- Tool Selection and Implementation Best Practices
Module 7: Communicating Insights and Recommendations
- Effective Storytelling with Data
- Creating Compelling Presentations for Stakeholders
- Using Data to Drive Product Decisions and Roadmaps
- Influencing Stakeholders with Data-Driven Insights
Module 8: Putting it all Together - Case Studies and Projects
- Real-World Case Studies in Product Analytics
- Hands-on Project: Applying Product Analytics Techniques to a Real-World Problem
- Peer Review and Feedback
- Final Project Presentations