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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/uva-darden-agile-analytics
课程评论：没有评论
课程名称：敏捷分析 概述：强大的分析程序是推动敏捷的关键能力之一。该程序帮助团队确定在每个敏捷迭代（冲刺）之间的关注重点。成功的分析通常易于理解，并且往往具有惊人的清晰度。在本课程中，您将学习如何为团队构建强大的分析基础设施，并将其与您追求价值的核心进行整合。课程由维吉尼亚大学达登商学院开发。 课程大纲： **第一部分：介绍与客户分析** 描述：如果没有对客户是谁及其问题/工作/习惯的可操作性视角，您的基础将会不稳固。本周，我们将探讨如何将对客户假设的定性分析与可测试的定量分析结合起来。 **第二部分：需求分析** 描述：为什么要构建没人想要的东西？这似乎是个显而易见的问题，但很多软件（超过50%）最终使用率很低或根本不被使用。本周，我们将学习如何快速而明确地进行实验以测试需求。 **第三部分：用户体验分析** 描述：良好的可用性通常源于持续的努力，而不是重大的重新设计。那些坚持进行可用性测试的团队将获得持续的客户成功，并培养出一种让工作更愉快和富有成就感的实验文化。 **第四部分：分析与数据科学** 描述：大数据的可用性和机器学习的崛起能极大提升您处理分析的方式。本周，我们将学习数据科学如何改变分析，并探讨如何创建一个聚焦、高效的数据科学能力接口。
Part: 1
Title:Introduction and Customer Analytics
Description: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.
Part: 2
Title:Demand Analytics
Description: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.
Part: 3
Title:UX Analytics
Description: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.
Part: 4
Title:Analytics and Data Science
Description: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.
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.
