Product Analytics and AI

Perfect for: Product managers looking to build a data-driven product culture and integrate AI/ML into their analytics strategy

Key outcome: Build an actionable analytics infrastructure that drives agile product development

Prerequisites: No prior experience required

What Sets This Course Apart

Developed at UVA's Darden School of Business, this course bridges the gap between traditional product analytics and modern AI capabilities. It focuses on practical implementation of analytics within agile teams, helping you avoid the common pitfall of building features nobody wants.

Course Journey

1. Building Strong Analytics Infrastructure

• Creating actionable analytics frameworks
• Integrating analytics into sprint cycles
• Driving value through data-informed decisions

2. Customer Analytics & Hypothesis Testing

• Pairing qualitative and quantitative insights
• Developing testable customer hypotheses
• Creating measurable personas

3. Experimental Product Development

• Running fast, definitive experiments
• Testing demand before building
• Validating product decisions

4. AI & Machine Learning Integration

• Leveraging big data effectively
• Implementing machine learning in analytics
• Building data science capabilities

Learning Experience

• Format:
• 41 video lessons
• 14 hands-on assignments
• Peer reviews
• Discussion prompts
• Practical Applications:
• Real-world case studies
• Hands-on analytics projects
• Team implementation strategies
• Tools & Techniques:
• Analytics frameworks
• Experimental design methods
• AI/ML integration approaches

Is This Course Right For You?

✅ Consider this course if:

• You want to make more data-driven product decisions
• You're looking to integrate AI/ML into your analytics strategy
• You need to improve feature adoption rates
• You want to build a culture of experimentation

⚠️ This might not be for you if:

• You're seeking deep technical ML/AI implementation
• You need extensive coding practice
• You're looking for basic product management fundamentals
• You want comprehensive agile methodology training

Time & Commitment

• Total duration: Approximately 15 hours
• Flexibility: Complete at your own pace
• Structure: 4 modules with progressive learning
• Weekly effort: Flexible scheduling

Investment & Returns

• Cost structure:
• Included with Coursera Plus subscription
• 7-day free trial available
• Financial aid available
• Learning outcomes:
• Create actionable analytics frameworks
• Design effective experiments
• Implement AI-driven analytics
• Build data-informed product cultures

What Makes This Course Valuable

• Taught by industry expert Alex Cowan
• 93% positive course ratings
• Practical, implementation-focused content
• Balance of traditional analytics and modern AI approaches
• Immediate applicability to agile teams