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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Université de VirginieÀ propos de ce cours
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Niveau débutant
Approx. 15 heures pour terminer
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Ce que vous allez apprendre
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).
Compétences que vous acquerrez
- Software Development
- Product Management
- Agile Software Development
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
Approx. 15 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
Université de Virginie
A premier institution of higher education, The University of Virginia offers outstanding academics, world-class faculty, and an inspiring, supportive environment. Founded by Thomas Jefferson in 1819, the University is guided by his vision of discovery, innovation, and development of the full potential of students from all walks of life. Through these courses, global learners have an opportunity to study with renowned scholars and thought leaders.
Programme de cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
Introduction and Customer Analytics
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.
3 heures pour terminer
13 vidéos (Total 66 min), 1 lecture, 4 quiz
3 heures pour terminer
Demand Analytics
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.
3 heures pour terminer
12 vidéos (Total 61 min)
6 heures pour terminer
UX Analytics
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.
6 heures pour terminer
11 vidéos (Total 73 min)
3 heures pour terminer
Analytics and Data Science
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.
3 heures pour terminer
12 vidéos (Total 75 min)
Avis
- 5 stars81,96 %
- 4 stars12,20 %
- 3 stars4,24 %
- 2 stars1,32 %
- 1 star0,26 %
Meilleurs avis pour AGILE ANALYTICS
par RB2 mars 2022
Great mix of concepts and stories from practictioners about what to watch out for
par KM14 nov. 2020
Great course to gain knowledge n the subject area specially for the intermediates, i highly recommend this. thank you for the immense support throughout the course.
par SA18 déc. 2020
I totally loved it, everything make sense , i definitely gonna use it in my own projects. thank you so much
par SS7 juil. 2020
Great perspectives on mapping analytics to product innovation pipeline. Learnt a lot and enjoyed it.
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