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Learner Reviews & Feedback for Product Analytics and AI by University of Virginia

4.7
stars
504 ratings

About the Course

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....

Top reviews

WR

Feb 14, 2021

I didn't get as much out of this as the other courses, but I already work with a lot of analytics so the material wasn't really new to me. The interviews with industry professionals were good.

AF

Sep 23, 2022

F​irst I was scared at the sight of Analytics, but having completed the course, I'd say it wasn't as hard as I thought. I can't wait to put it in practice!!

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126 - 128 of 128 Reviews for Product Analytics and AI

By Stefano B

•

Oct 24, 2024

I am a bit disappointed with the course. Of AI there is almost no trace, apart from shallow things that at this point almost everyone knows. Of real product analytics also very little to none, apart from tables with text that show how to go from epic to testable questions. Although there is a lot of value in doing this, when I think about product analytics I want to see numbers, computations, and results, i.e. the thing in action. This second step is completely missing

By Dario B

•

Dec 16, 2020

Many things already seen in the prv Agile courses

By Ankit B

•

Apr 8, 2025

teaches nothing more than basic common sense