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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/dashboarding-deployment
课程评论：没有评论
课程名称：仪表板设计与部署 概述：本课程将指导您了解分析仪表板的各个部分：从仪表板设计的最佳实践到创建统一的分析环境，再到可视化的部署和发布。我们将简要讨论高级可视化技术，并以金融市场中最大的赢家和输家信息布局的开发以及与经济数据的比较作为您的顶点项目。 课程大纲： 第一部分：从数据到视觉理解 在掌握了主要可视化方法及应对可视分析所需的行动和互动模式后，我们将结合这些知识。什么是良好仪表板设计的原则？如何确定最有效的仪表板来传达您的故事？本模块将探讨创建分析仪表板的考虑因素和流程。 第二部分：分析仪表板设计 在明确了目标受众、目标和原则后，创建仪表板更多的是设计挑战而非技术问题。本模块将把所有这些元素汇聚成一个统一的分析环境。您将开始在Tableau中构建并设计您的仪表板。 第三部分：部署与发布 过去，许多组织在部署和发布可视化分析时面临挑战。随着底层数据管理和工程管道的能力日益增强，本模块将探讨如何在新分析平台逐渐进入市场并成熟时脱颖而出，讨论创建自定义可视化的考虑因素。 第四部分：超越基础 回顾您在本专业化课程中所学的内容，您可能会如何在数据科学工作流程中使用地理空间分析或网络分析？此外，您将如何设计可视化以解释数据的变化？在本模块中，我们将简要讨论在Tableau中使用的高级功能来回答这些问题。与此同时，您还将完成顶点项目，利用叙事原则和最佳实践进行聚焦与简化，并开发信息布局。
Part: 1
Title:From Data to Visual Understanding
Description:Now that you know the primary visualization methods and how to address the action and interaction patterns necessary for visual analytics, it’s time to put it all together. What are the principles of good dashboard design and how do you determine the most effective dashboard to communicate your story? In this module, we’ll take a look at the considerations and processes for creating an analytical dashboard.
Part: 2
Title:Analytical Dashboarding
Description:After the target audience, objectives, and principles have been clearly defined, creating the dashboard itself is less of a technical exercise and more of a design challenge. This module brings all these elements together into a unified analytical environment. You’ll begin to put everything together in Tableau and design your dashboard.
Part: 3
Title:Deploying and Publishing
Description:In the past, deploying and publishing visual analytics was challenging for many organizations. The underlying data management and engineering pipelines were much less capable than today’s backend systems. In this module, we’ll investigate what to do as new analytical platforms enter the market and mature over time, how to stand out as a data visualization expert, and discuss considerations for creating custom visualizations.
Part: 4
Title:Going Beyond
Description:Consider what you’ve learned so far in this specialization. How might you use geospatial analysis or network analysis in your data science workflow? In addition, how might you design visuals to explain how data has changed over time? In this module, we’ll briefly discuss advanced features that can be used to answer these questions in Tableau. As you reflect on the course content, you will also finalize your capstone project, making use of storytelling principles and best practices for focusing and decluttering, and develop an information layout.
This course will take you through the various parts of analytical dashboarding: from best practices for designing a dashboard, creating a unified analytical environment, to deploying and publishing visualizations. We will briefly discuss the advanced visualization techniques and you will develop an information layout of the biggest gainers and losers in the financial markets and compare those movements to the economic data as your capstone project.
