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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Виргинский университетОб этом курсе
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Прибл. 15 часов на выполнение
Английский
Субтитры: Арабский, Французский, Португальский (Европа), Китайский (упрощенное письмо), Итальянский, Вьетнамский, Корейский, Немецкий, Русский, Турецкий, 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
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Начальный уровень
Прибл. 15 часов на выполнение
Английский
Субтитры: Арабский, Французский, Португальский (Европа), Китайский (упрощенное письмо), Итальянский, Вьетнамский, Корейский, Немецкий, Русский, Турецкий, Английский, Испанский
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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.)), 2 материалов для самостоятельного изучения, 4 тестов
13 видео
Review: Hypothesis-Driven Development3мин
Agile Analytics at HVAC in a Hurry2мин
Jobs To Be Done at HVAC in a Hurry5мин
Getting Outside the Building With Ivan7мин
Focal Point: The User Journey6мин
Introducing Enable Quiz1мин
Outlining the User Journey7мин
Outlining with Pirate Metrics3мин
Designing User Habits: The Hook Framework4мин
Mapping Analytics: Trent the Technician10мин
Mapping Analytics: Ivan the Inside Salesperson6мин
Your Analytics Portfolio2мин
2 материала для самостоятельного изучения
Course Overview & Requirements10мин
Getting Project Management Institute (PMI) Professional Development Units (PDUs) and Scrum Alliance SEUs10мин
4 практических упражнения
User Journeys and Pirate Metrics30мин
User Habits and Mapping Analytics30мин
Customer Analytics
Introduction and Customer Analytics30мин
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.))
12 видео
Testing Motivation with MVPs3мин
Designing Experiments4мин
Experiment Design with MVPs4мин
Five Experiment Charters2мин
The Fake Feature Test4мин
Testing Features: Running the Experiment3мин
Testing Funnels6мин
Testing Cohorts7мин
Experiment Design: Testing a Coding Course for Designers & Managers4мин
Experiment Execution: Testing a Coding Course for Designers & Managers5мин
Interview: Laura Klein on Practice of Lean UX10мин
4 практических упражнения
Testing Motivations with MVPs30мин
Experiments30мин
Testing Features
Testing Demand and Experiment Patterns30мин
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.))
11 видео
Qualitative Usability Testing9мин
The Test You Already Have2мин
Pairing Your User Stories with Analytics: Trent the Technician7мин
Pairing Your User Stories with Analytics: Ivan the Inside Salesperson10мин
Analyzing Dependent Variables with Google Analytics4мин
Google Analytics: The Littlest Overview10мин
From Design to Code: Trent the Technician4мин
From Code to Analytics: Trent the Technician4мин
A/B Testing7мин
Designing, Coding, and Testing: Ivan the Inside Salesperson6мин
4 практических упражнения
Testing Analytics30мин
User Stories & Analytics30мин
A/B Testing
Qualitative and Quantitative Analytics30мин
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.))
12 видео
Facilitating Collaboration with Your Data Science Team4мин
Interview: Drew Conway on Data Science8мин
Interview: Drew Conway’s Data Science Journey9мин
Four Types of Data Executions1мин
Interview: Casey Lichtendahl: Data Science and You6мин
Interview: Casey Lichtendahl: Closer Look at X, Y, Z10мин
Interview: Casey Lichtendahl: Data at Rest vs. Data in Motion6мин
Data Science IRL: Intro to the Casino Jack Case8мин
Data Science IRL: Data Wrangling and Exploratory Analysis9мин
Data Science IRL: Testing Hypotheses and Designing Interventions5мин
Course Close1мин
4 практических упражнения
Data Science30мин
Data Executions30мин
Data Science IRL
Analytics and Data Science30мин
Рецензии
Лучшие отзывы о курсе AGILE ANALYTICS
от партнера MG2 янв. 2021 г.
Very exciting course, probably the most exciting part of the specification so far. Helps to fill in the gaps on the theory front and provided a lot of useful practical advice as well.
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.
от партнера ET24 нояб. 2020 г.
I really appreciated the mixture of video lessons, a lot of quizzes and in particular the several interviews which gave a nice insight into the 'real' world.
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