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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-visualization-tableau
课程评论：没有评论
课程名称：Tableau可视化基础 课程概述：本课程是此专业化课程的第一门，您将了解数据可视化的概念以及如何利用可视化来更好地观察和理解数据。通过使用Tableau，我们将探讨数据可视化的基本概念，并深入了解Tableau界面，识别并运用其各种工具。完成课程后，您将能够准备和导入数据到Tableau，并解释数据分析与数据可视化之间的关系。该课程专为从未使用过Tableau的学习者设计，亦适合需要复习或想更深入探索Tableau的学员。无任何技术或分析背景的要求。课程将指导您逐步创建自己的第一幅可视化，以数据背景为基础，为您进阶到下一门课程奠定基础。 课程大纲： 1. **入门及数据可视化的重要性** - 探讨数据可视化的重要性以及如何判断其效果。通过视频课程、专家见解和对公共Tableau可视化的实践探索，您将学习数据故事如何带来清晰度、影响决策并激励行动，并了解糟糕设计的风险。掌握关键原则（如了解受众、保持简单、维护数据诚信），为您的视觉分析之旅铺平道路。 2. **认识Tableau** - 在此模块中，您将熟悉使用Tableau Public（Tableau免费版本）。您将学习如何连接自己的数据，理解工作表和仪表板的布局，并使用数据窗格、画布和“Show Me”选项卡等关键功能开始构建可视化。同时，了解Tableau如何处理不同数据类型（如度量和维度）以及聚合的工作原理。完成本模块后，您将能够自信地使用自己的数据集构建图表。 3. **与您的受众产生共鸣** - 良好的数据可视化不仅关乎清晰性，还涉及责任。在这个模块中，您将探讨偏见如何无意中渗透到可视化中，并了解如何在设计中关注公平、伦理和受众需求。通过实际案例和动手活动，您将练习为特定受众定制图表，反思如何通过标签、注释和上下文塑造感知。无论是面向高管、分析师还是公众，您都将获得设计出既具影响力又值得信赖的可视化的策略。 4. **大局观** - 在最后一个模块中，您将实践所学知识，创建并发布自己的第一幅Tableau可视化。您将学习如何为您的信息选择正确的图表类型（如趋势线或比较条形图），以及如何通过注释、标签和工具提示来优化您的视觉效果。同时，学习如何遵循视觉设计和布局最佳实践，使您的仪表板更具可达性和包容性。完成本模块后，您将准备好自信地公开分享自己的作品。
Name:Getting Started and Why Data Visualization Matters
Description:Why does data visualization matter—and how do you know if it’s done well? In this module, you’ll explore the foundations of effective visual communication. Through video lessons, expert insights, and hands-on exploration of public Tableau visualizations, you’ll learn how data stories can bring clarity, influence decision-making, and inspire action. You’ll also uncover the risks of poor design and discover key principles—like knowing your audience, keeping it simple, and maintaining data honesty—that set great visualizations apart. This is where your journey in visual analytics begins.
Name:Getting to Know Tableau
Description:In this module, you’ll get comfortable working inside Tableau Public—the free version of Tableau’s data visualization software. You’ll learn how to connect to your own data, understand the layout of worksheets and dashboards, and begin building visualizations using key features like the Data pane, canvas, and Show Me tab. You’ll also explore how Tableau handles different data types—like measures and dimensions—and how aggregations work behind the scenes. By the end of this module, you’ll be ready to start building charts with confidence using your own datasets.
Name:Resonating With Your Audience
Description:Good data visualization isn’t just about clarity—it’s about responsibility. In this module, you’ll explore how bias can creep into visualizations, even unintentionally, and learn how to design with fairness, ethics, and audience needs in mind. Through real-world examples and a hands-on activity, you’ll practice tailoring a chart for a specific audience, reflecting on how choices like labels, annotations, and context can shape perception. Whether you’re creating for executives, analysts, or the public, you’ll leave this module with strategies to design visualizations that are both impactful and trustworthy.
Name:The Big Picture
Description:In this final module, you’ll put everything you’ve learned into action by creating and publishing your first Tableau visualization. You’ll explore how to select the right chart type for your message—whether it’s a trend line or a comparison bar chart—and how to refine your visuals using annotations, labels, and tooltips. You’ll also learn how to make your dashboards accessible and inclusive by following best practices in visual design and layout. By the end of this module, you’ll be ready to share your work publicly and with confidence.
In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.
