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.
Product Analytics and AI
Ends tomorrow! Get one of our best deals with Coursera Plus for $199 (usually $399). Save now.
Product Analytics and AI
This course is part of multiple programs.
Instructor: Alex Cowan
39,748 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
508 reviews
Beginner level
No prior experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
92%
Most learners liked this course
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).
Skills you'll gain
- Analytics
- Customer experience improvement
- AI Product Strategy
- Data-Driven Decision-Making
- Demand Planning
- Advanced Analytics
- Product Improvement
- Product Development
- Agile Methodology
- Agile Software Development
- Software Development
- Analytical Skills
- Customer Analysis
- Product Management
- Agile Product Development
- Usability Testing
- Customer Demand Planning
- User Experience
- Customer Insights
- A/B Testing
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
(129 ratings)Offered by
Explore more from Design and Product
Status: Free Trial
Status: Free TrialDuke University
Status: Free Trial
Status: PreviewAI CERTs
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
81.33%
- 4 stars
11.98%
- 3 stars
3.92%
- 2 stars
1.76%
- 1 star
0.98%
Showing 3 of 508
WR
Reviewed on 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.
KG
Reviewed on Dec 2, 2020
Excelent ! linking agile to data science in an easy very understandable way from which we can dig further in a solid foundation.
SS
Reviewed on Jul 7, 2020
Great perspectives on mapping analytics to product innovation pipeline. Learnt a lot and enjoyed it.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.