Product Analytics and AI

University of Virginia via Coursera

Coursera based on 479 ratings

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Overview

"Product Analytics and AI" is a course designed to bridge the gap between product development and data-driven decision-making using artificial intelligence. As businesses increasingly rely on digital products and platforms, understanding how users interact with products—and how to optimize those interactions—is critical for success. This course equips learners with the tools and techniques to harness product analytics powered by AI for actionable insights. Participants will explore the fundamentals of product analytics, including user behavior tracking, funnel analysis, and cohort analysis, then...

Syllabus

Introduction and Customer Analytics

Without an actionable view of who your customer is and what problems/jobs/habits they have, youre operating on a shaky foundation. This week, well look at how to pair your qualitative analytics on customer hypotheses with testable analytics.

Demand Analytics

Why build something no one wants? It seems like an obvious question, yet a lot (probably >50%) of software ends up lightly used or not used at all. This week, well look at how to run fast but definitive experiments to test demand.

UX Analytics

Strong usability most often comes from ongoing diligence as opposed to big redesigns. Teams that do the hard work of consistently testing usability are rewarded with a consistent stream of customer wins and a culture of experimentation that makes work more enjoyable and rewarding.

Data Science and AI

The availability of big data and the ascendance of machine learning can supercharge the way you approach analytics. This week, we're going to learn how data science is changing analytics and how you can create a focused, productive interfaces to a data science capability.