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.
About this Course
What you will 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 will gain
- Software Development
- Product Management
- Agile Software Development
Syllabus - What you will learn from this course
Introduction and Customer Analytics
Analytics and Data Science
- 5 stars81.66%
- 4 stars12.38%
- 3 stars4.28%
- 2 stars1.19%
- 1 star0.47%
TOP REVIEWS FROM AGILE ANALYTICS
This was a really good course for demonstrating how you can apply analytics, not just a run through of the theory. Really good.
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.
I was a bit sceptical at the beginning, but the course proved me wrong. Excellent introduction to data science and its basic concepts, and fits perfectly to the rest of specialization.
Very enjoyable. The examples were very clear and the interviews very educational. Probably the best course so far in this specialization.
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