University of Virginia

Product Analytics and AI

This course is part of multiple programs.

Taught in English

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Alex Cowan

Instructor: Alex Cowan

29,950 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.7

(453 reviews)

|

92%

Beginner level
No prior experience required
14 hours (approximately)
Flexible schedule
Learn at your own pace

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).

Details to know

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Assessments

14 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(453 reviews)

|

92%

Beginner level
No prior experience required
14 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 4 modules in this course

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

What's included

12 videos1 reading2 quizzes3 discussion prompts

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, we’ll look at how to run fast but definitive experiments to test demand.

What's included

14 videos4 quizzes1 discussion prompt

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.

What's included

15 videos4 quizzes1 peer review2 discussion prompts

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.

What's included

15 videos4 quizzes2 discussion prompts

Instructor

Instructor ratings
4.8 (119 ratings)
Alex Cowan
University of Virginia
25 Courses474,788 learners

Offered by

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4.7

453 reviews

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MG
4

Reviewed on Jan 8, 2022

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Reviewed on Feb 14, 2021

JM
5

Reviewed on Jan 8, 2021

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