Chevron Left
返回到 Product Analytics and AI

学生对 University of Virginia 提供的 Product Analytics and AI 的评价和反馈

4.7
星
505 个评分

课程概述

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....

热门审阅

RS

Sep 29, 2020

Thanks Prof. Cowan and team for this course. Not only refreshed many fundamental but learned many new things.

KC

Jun 23, 2021

This one is the most challenge in the series for me so far. Great work here I learned a lot in this one.

筛选依据：

126 - Product Analytics and AI 的 128 个评论（共 128 个）

创建者 Deleted A

•

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

创建者 Dario B

•

Dec 16, 2020

Many things already seen in the prv Agile courses

创建者 Ankit B

•

Apr 8, 2025

teaches nothing more than basic common sense