Empower your team with the Agile Analytics course from the Darden School of Business at the University of Virginia. This comprehensive program guides you in building a robust analytics infrastructure that seamlessly integrates with agile methodologies, driving your team to deliver user-centric value.
Throughout this course, you'll learn how to naturally tie your team's work to actionable analytics, ensuring that your efforts consistently align with delivering tangible user value. By pairing your hypotheses on customer personas and problems with analytics, you'll gain the ability to test propositions, avoiding the development of features that don't meet user needs. The course also covers the integration of actionable observations into every aspect of your work, following the principles of Lean Startup and Lean UX.
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Get Started / More InfoThis comprehensive Agile Analytics course from the University of Virginia covers four modules: Introduction and Customer Analytics, Demand Analytics, UX Analytics, and Analytics and Data Science. Each module equips you with the essential knowledge and skills to integrate analytics into your agile process effectively.
Introduction and Customer Analytics module equips you with the foundational knowledge and skills to tie your team's work to actionable analytics. You'll learn to describe the customer journey for testability, design actionable inferences, and understand enough about statistics to drive value effectively.
Demand Analytics module focuses on Lean Startup principles and demand testing. You'll gain insights into designing experiments, testing features, and understanding user habits, allowing you to effectively test demand and experiment patterns.
UX Analytics module dives into the integration of analytics into the user experience. You'll explore qualitative usability testing, A/B testing, and learn to pair user stories with analytics effectively, ensuring that your design decisions are backed by actionable insights.
Analytics and Data Science module delves into the world of data science and its collaboration with analytics. You'll gain an understanding of data executions, data science in real life, and tips for effectively working with a data science team, empowering you to leverage data-driven insights effectively in your agile process.
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