Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. In this course, developed at the Darden School of Business at the University of Virginia, you'll learn how to build a strong analytics infrastructure for your team, integrating it with the core of your drive to value.

Product Analytics and AI
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Product Analytics and AI
This course is part of multiple programs.

Instructor: Alex Cowan
40,025 already enrolled
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510 reviews
What you'll learn
How to naturally, habitually tie your team’s work to actionable analytics that help you drive to user value.
How to pair your hypotheses on customer personas and problem with analytics.
How to test propositions (a la Lean Startup) so you don’t build features no one wants.
How to instrument actionable observation into everything you build (a la Lean UX).
Skills you'll gain
- Product Management
- Analytics
- Data-Driven Decision-Making
- Demand Planning
- Customer Insights
- Customer experience improvement
- Customer Analysis
- Agile Product Development
- Agile Software Development
- Usability Testing
- AI Product Strategy
- Customer Demand Planning
- Product Improvement
- Software Development
- Advanced Analytics
- User Experience
- A/B Testing
- Product Development
- Analytical Skills
- Agile Methodology
Details to know

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Reviewed on Sep 29, 2020
Thanks Prof. Cowan and team for this course. Not only refreshed many fundamental but learned many new things.
Reviewed on Mar 2, 2022
Great mix of concepts and stories from practictioners about what to watch out for
Reviewed on Jan 8, 2021
Very interesting and useful course, explanation is clear. Enough detail in the Data Science topics that will for sure be very useful
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