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.
von
University of VirginiaÜber diesen Kurs
29.315 kürzliche Aufrufe
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
Ca. 15 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Englisch, Spanisch
Was 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
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
Ca. 15 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Englisch, Spanisch
von
University of Virginia
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
3 Stunden zum Abschließen
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 Stunden zum Abschließen
13 Videos (Gesamt 66 min), 1 Lektüre, 4 Quiz
3 Stunden zum Abschließen
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 Stunden zum Abschließen
12 Videos (Gesamt 61 min)
6 Stunden zum Abschließen
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 Stunden zum Abschließen
11 Videos (Gesamt 73 min)
3 Stunden zum Abschließen
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 Stunden zum Abschließen
12 Videos (Gesamt 75 min)
Bewertungen
Top-Bewertungen von AGILE ANALYTICS
von MG8. Jan. 2022
I loved the whole specialization has a lot of benefits about product management from A to Z yet some lessons were confusing and doesn't have a clear view of how to use a specific concept or tool.
von WR14. Feb. 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.
von DG12. Mai 2021
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.
von AM12. Dez. 2020
Gives thoughtfull ideas on how to manage and make use of data in agile development. Absolutely meets the expectations as it is a beginner level course. Highly recommended.
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