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.
от партнера
Виргинский университетОб этом курсе
Недавно просмотрено: 28 331
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Начальный уровень
Прибл. 15 часов на выполнение
Английский
Субтитры: Арабский, Французский, Португальский (Европа), Итальянский, Вьетнамский, Немецкий, Русский, Английский, Испанский
Чему вы научитесь
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).
Приобретаемые навыки
Software DevelopmentProduct ManagementAgile Software Development
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Начальный уровень
Прибл. 15 часов на выполнение
Английский
Субтитры: Арабский, Французский, Португальский (Европа), Итальянский, Вьетнамский, Немецкий, Русский, Английский, Испанский
от партнера
Виргинский университет
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.
Программа курса: что вы изучите
3 ч. на завершение
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 ч. на завершение
13 видео ((всего 66 мин.)), 1 материал для самостоятельного изучения, 4 тестов
3 ч. на завершение
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 ч. на завершение
12 видео ((всего 61 мин.))
6 ч. на завершение
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 ч. на завершение
11 видео ((всего 73 мин.))
3 ч. на завершение
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 ч. на завершение
12 видео ((всего 75 мин.))
Рецензии
Лучшие отзывы о курсе AGILE ANALYTICS
от партнера WR14 февр. 2021 г.
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.
от партнера DG12 мая 2021 г.
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.
от партнера AM12 дек. 2020 г.
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.
от партнера KM14 нояб. 2020 г.
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.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
Остались вопросы? Посетите Центр поддержки учащихся.
