中In this course, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights.
Visualize Data
您将学到什么
Describe the use of data visualizations to talk about data and the results of data analysis.
Describe the key concepts involved in data visualization.
Discuss accessibility issues associated with data visualization.
Explain the key concepts involved in design thinking as they relate to data visualization.
要了解的详细信息
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最近已更新！
September 2025
作业
5 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Google Data-Driven Decision Making 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有3个模块
In this module, you’ll explore the various types of data visualizations and understand what makes an effective visualization. You will understand the importance of data visualization. You will recognize the difference between correlation and causation and acquire tips for powerful visualizations.
涵盖的内容
4个视频6篇阅读材料2个作业
In this module, you’ll explore the principles of design thinking, and other factors that will help you use data visualizations to effectively communicate data insights. You will recognize the impact of data visualization and acknowledge the beauty of data.
涵盖的内容
3个视频3篇阅读材料1个作业
In this module, you’ll learn about accessibility and design thinking and pro tips for highlighting key information. You will also explore strategies for designing a chart and create your own visualization.
涵盖的内容
2个视频2篇阅读材料2个作业
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常见问题
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
You don't need to be a math all-star to succeed in this certificate. You need to be curious and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.
更多问题
提供助学金，