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.
弗吉尼亚大学課程信息
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初級
完成時間大約為15 小時
英語（English）
字幕：英語（English）
您將學到的內容有
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).
您將獲得的技能
Software DevelopmentProduct ManagementAgile Software Development
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
初級
完成時間大約為15 小時
英語（English）
字幕：英語（English）
提供方
弗吉尼亚大学
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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
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.
完成時間為 3 小時
13 個視頻 （總計 66 分鐘）, 2 個閱讀材料, 4 個測驗
13 個視頻
Review: Hypothesis-Driven Development3分鐘
Agile Analytics at HVAC in a Hurry2分鐘
Jobs To Be Done at HVAC in a Hurry5分鐘
Getting Outside the Building With Ivan7分鐘
Focal Point: The User Journey6分鐘
Introducing Enable Quiz1分鐘
Outlining the User Journey7分鐘
Outlining with Pirate Metrics3分鐘
Designing User Habits: The Hook Framework4分鐘
Mapping Analytics: Trent the Technician10分鐘
Mapping Analytics: Ivan the Inside Salesperson6分鐘
Your Analytics Portfolio2分鐘
2 個閱讀材料
Course Overview & Requirements10分鐘
Getting Project Management Institute (PMI) Professional Development Units (PDUs) and Scrum Alliance SEUs10分鐘
4 個練習
User Journeys and Pirate Metrics30分鐘
User Habits and Mapping Analytics30分鐘
Customer Analytics
Introduction and Customer Analytics30分鐘
完成時間為 3 小時
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.
完成時間為 3 小時
12 個視頻 （總計 61 分鐘）
12 個視頻
Testing Motivation with MVPs3分鐘
Designing Experiments4分鐘
Experiment Design with MVPs4分鐘
Five Experiment Charters2分鐘
The Fake Feature Test4分鐘
Testing Features: Running the Experiment3分鐘
Testing Funnels6分鐘
Testing Cohorts7分鐘
Experiment Design: Testing a Coding Course for Designers & Managers4分鐘
Experiment Execution: Testing a Coding Course for Designers & Managers5分鐘
Interview: Laura Klein on Practice of Lean UX10分鐘
4 個練習
Testing Motivations with MVPs30分鐘
Experiments30分鐘
Testing Features
Testing Demand and Experiment Patterns30分鐘
完成時間為 6 小時
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.
完成時間為 6 小時
11 個視頻 （總計 73 分鐘）
11 個視頻
Qualitative Usability Testing9分鐘
The Test You Already Have2分鐘
Pairing Your User Stories with Analytics: Trent the Technician7分鐘
Pairing Your User Stories with Analytics: Ivan the Inside Salesperson10分鐘
Analyzing Dependent Variables with Google Analytics4分鐘
Google Analytics: The Littlest Overview10分鐘
From Design to Code: Trent the Technician4分鐘
From Code to Analytics: Trent the Technician4分鐘
A/B Testing7分鐘
Designing, Coding, and Testing: Ivan the Inside Salesperson6分鐘
4 個練習
Testing Analytics30分鐘
User Stories & Analytics30分鐘
A/B Testing
Qualitative and Quantitative Analytics30分鐘
完成時間為 3 小時
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.
完成時間為 3 小時
12 個視頻 （總計 75 分鐘）
12 個視頻
Facilitating Collaboration with Your Data Science Team4分鐘
Interview: Drew Conway on Data Science8分鐘
Interview: Drew Conway’s Data Science Journey9分鐘
Four Types of Data Executions1分鐘
Interview: Casey Lichtendahl: Data Science and You6分鐘
Interview: Casey Lichtendahl: Closer Look at X, Y, Z10分鐘
Interview: Casey Lichtendahl: Data at Rest vs. Data in Motion6分鐘
Data Science IRL: Intro to the Casino Jack Case8分鐘
Data Science IRL: Data Wrangling and Exploratory Analysis9分鐘
Data Science IRL: Testing Hypotheses and Designing Interventions5分鐘
Course Close1分鐘
4 個練習
Data Science30分鐘
Data Executions30分鐘
Data Science IRL
Analytics and Data Science30分鐘
審閱
來自AGILE ANALYTICS的熱門評論
由 KM 提供2020年11月14日
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.
由 IM 提供2020年6月8日
Very enjoyable. The examples were very clear and the interviews very educational. Probably the best course so far in this specialization.
由 DW 提供2020年8月18日
At the beginning I though it was going to be really difficult, but Alex makes the course fun, dynamic and easy to understand! Thank you!
由 CW 提供2020年11月19日
This was a really good course for demonstrating how you can apply analytics, not just a run through of the theory. Really good.
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