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.
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Über diesen Kurs
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausWas Sie lernen werden
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).
Kompetenzen, die Sie erwerben
- Software Development
- Product Management
- Agile Software Development
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Introduction and Customer Analytics
Demand Analytics
UX Analytics
Analytics and Data Science
Bewertungen
- 5 stars81,79 %
- 4 stars12,13 %
- 3 stars4,36 %
- 2 stars1,21 %
- 1 star0,48 %
Top-Bewertungen von AGILE ANALYTICS
Great perspectives on mapping analytics to product innovation pipeline. Learnt a lot and enjoyed it.
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.
This was a really good course for demonstrating how you can apply analytics, not just a run through of the theory. Really good.
the best course to learn agile applied on digital products development, excellent approach
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