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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/dataviz-design
课程评论：没有评论
课程名称：Tableau的基本设计原则 概述：本课程旨在分析和应用基本的设计原则到你的Tableau可视化中。课程假设学员理解Tableau工具，并且具备一些数据可视化的基本概念。你将界定和考察探索性分析与解释性分析的异同，并开始提出有关可视化所需内容的正确问题。课程中，你将评估数据与设计如何协同工作，包括如何为数据选择合适的视觉呈现，以及有效与无效视觉之间的差异。你将应用有效的设计最佳实践到数据可视化中，并能够展示战略性使用对比来突出重要元素的例子。你将评估前注意属性及其在可视化中的重要性，探讨使用“适量”颜色及其使用位置的重要性，并学习如何运用设计原则来简化数据可视化。 课程大纲： 1. **入门与有效和无效的视觉** 本模块介绍人类大脑如何感知世界的背景信息，探索有效和无效的视觉表现。在模块结束时，学员将能够识别大脑与视觉设计的关系，了解认知与感知设计的区别，学习Tableau提供的各种可视化选项及其优缺点，并讨论良好伦理实践在设计可视化中的作用。同时，开始审视无效的可视化，并学习如何改善它们。 2. **视觉感知与认知负荷** 本模块将探讨特定的数据可视化概念，应用前一模块中学到的人类大脑的工作原理。学员将能够定义认知负荷及可视化中的“杂乱”含义，并能够直观展现视觉感知原则，利用对比来增强可视化效果。同时，定义和使用前注意属性（如颜色）以制作有效的可视化。 3. **设计最佳实践与探索性分析** 本模块重温前一模块介绍的一些概念。学员将能够应用格式塔原则和利用前注意属性进行可视化设计，考察可访问性和美学在创作中的作用。此外，学员将定义探索性和解释性分析的概念，规范数据并识别异常值，最后，构建控制图，为更高级的探索性分析打下基础。 4. **为理解而设计** 理解大型、多维数据集对任何人来说都是一项挑战。作为设计师，你的任务是作出良好的编码、安排和呈现数据的决定，以揭示对观众有意义的模式和故事。完成本模块后，学员将能够针对目标受众和目的设计可视化，识别数据、关系与优秀视觉设计之间的联系，并将额外的设计工具和技巧应用到可视化中。
Name:Getting Started and Effective and Ineffective Visuals
Description:Welcome to this first module where we are going to start you off with background information about how the human brain perceives the world and then you will discover effective and ineffective visuals. By the end of this module, you will be able to recognize how the brain relates to visual design. You will know the difference between cognitive versus perceptual design. You will learn the various visualization options offered by Tableau and some of their advantages and disadvantages. You will discuss how good ethical practices play in designing visualizations. You will also start to examine ineffective visualizations and learn how to improve them.
Name:Visual Perception and Cognitive Load
Description:Welcome to this second module. This module will explore specific data visualization concepts that apply the concepts you learned about how the human brain works from the last module. In this module, you will be able to define cognitive load and what clutter means from a visualization perspective. You will be able to visually illustrate the principles of visual perception and use contrast to enhance your visualizations. You will be able to define and use pre-attentive attributes like color to make effective visualizations.
Name:Design Best Practices and Exploratory Analysis
Description:In this module, we revisit some of the concepts introduced from the previous module. You will be able to apply Gestalt Principles and leverage pre-attentive attributes in your visualizations. You will examine the role of accessibility and aesthetics play in your creations. Also, you will be able to define the ideas of exploratory and explanatory analysis and be able to normalize your data and identify outliers. Finally, you will be introduced to a challenging concept and construct a control chart to set you up to perform more advanced exploratory analysis.
Name:Design for Understanding
Description:Making sense of large, multi-dimensional data sets can be a challenge for anyone. Your task as a designer is to make good decisions about encoding, arranging, and presenting data to reveal meaningful patterns and stories for your audiences. After completing this module, you will be able to design your visualizations for a target audience and with purpose. You will be able to identify the connection to between data, relationships and good visual design. You will implement additional design tools and tips into your visualizations.
In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the "right" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.
