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.
弗吉尼亚大学课程信息
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初级
完成时间大约为14 小时
英语（English）
字幕：英语（English）
您将获得的技能
Software DevelopmentProduct ManagementAgile Software Development
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为14 小时
英语（English）
字幕：英语（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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
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.
完成时间为 3 小时
13 个视频 （总计 66 分钟）, 2 个阅读材料, 4 个测验
13 个视频
Review: Hypothesis-Driven Development3分钟
Agile Analytics at HVAC in a Hurry2分钟
Jobs To Be Done at HVAC in a Hurry5分钟
Getting Outside the Building With Ivan7分钟
Focal Point: The User Journey6分钟
Introducing Enable Quiz1分钟
Outlining the User Journey7分钟
Outlining with Pirate Metrics3分钟
Designing User Habits: The Hook Framework4分钟
Mapping Analytics: Trent the Technician10分钟
Mapping Analytics: Ivan the Inside Salesperson6分钟
Your Analytics Portfolio2分钟
2 个阅读材料
Course Overview & Requirements10分钟
Getting Project Management Institute (PMI) Professional Development Units (PDUs)10分钟
4 个练习
User Journeys and Pirate Metrics30分钟
User Habits and Mapping Analytics30分钟
Customer Analytics
Introduction and Customer Analytics30分钟
完成时间为 3 小时
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.
完成时间为 3 小时
12 个视频 （总计 61 分钟）
12 个视频
Testing Motivation with MVPs3分钟
Designing Experiments4分钟
Experiment Design with MVPs4分钟
Five Experiment Charters2分钟
The Fake Feature Test4分钟
Testing Features: Running the Experiment3分钟
Testing Funnels6分钟
Testing Cohorts7分钟
Experiment Design: Testing a Coding Course for Designers & Managers4分钟
Experiment Execution: Testing a Coding Course for Designers & Managers5分钟
Interview: Laura Klein on Practice of Lean UX10分钟
4 个练习
Testing Motivations with MVPs30分钟
Experiments30分钟
Testing Features
Testing Demand and Experiment Patterns30分钟
完成时间为 5 小时
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.
完成时间为 5 小时
11 个视频 （总计 73 分钟）
11 个视频
Qualitative Usability Testing9分钟
The Test You Already Have2分钟
Pairing Your User Stories with Analytics: Trent the Technician7分钟
Pairing Your User Stories with Analytics: Ivan the Inside Salesperson10分钟
Analyzing Dependent Variables with Google Analytics4分钟
Google Analytics: The Littlest Overview10分钟
From Design to Code: Trent the Technician4分钟
From Code to Analytics: Trent the Technician4分钟
A/B Testing7分钟
Designing, Coding, and Testing: Ivan the Inside Salesperson6分钟
4 个练习
Testing Analytics30分钟
User Stories & Analytics30分钟
A/B Testing
Qualitative and Quantitative Analytics30分钟
完成时间为 3 小时
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.
完成时间为 3 小时
12 个视频 （总计 75 分钟）
12 个视频
Facilitating Collaboration with Your Data Science Team4分钟
Interview: Drew Conway on Data Science8分钟
Interview: Drew Conway’s Data Science Journey9分钟
Four Types of Data Executions1分钟
Interview: Casey Lichtendahl: Data Science and You6分钟
Interview: Casey Lichtendahl: Closer Look at X, Y, Z10分钟
Interview: Casey Lichtendahl: Data at Rest vs. Data in Motion6分钟
Data Science IRL: Intro to the Casino Jack Case8分钟
Data Science IRL: Data Wrangling and Exploratory Analysis9分钟
Data Science IRL: Testing Hypotheses and Designing Interventions5分钟
Course Close1分钟
4 个练习
Data Science30分钟
Data Executions30分钟
Data Science IRL
Analytics and Data Science30分钟
审阅
来自AGILE ANALYTICS的热门评论
由 IM 提供Jun 8, 2020
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Aug 18, 2020
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 PS 提供May 10, 2020
Another fantastic course from Alex Cowan! Insightful, timely and shares great perspective from experts
由 SS 提供Jul 7, 2020
Great perspectives on mapping analytics to product innovation pipeline. Learnt a lot and enjoyed it.
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