Data Visualization

课程
en
英语
字幕可用
16 时
此内容评级为 4.2653/5
来源
  • 来自www.coursera.org
状况
  • 自定进度
  • 免费获取
  • 收费证书
更多信息
  • 4 序列
  • 等级 介绍
  • 字幕在 Korean

Their employees are learning daily with Edflex

  • Safran
  • Air France
  • TotalEnergies
  • Generali
Learn more

课程详情

教学大纲

  • Week 1 - Course Orientation
    You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
  • Week 1 - Week 1: The Computer and the Human
    In this week's module, you will learn what data visualization is, how it's used, and how computers display information. You'll also explore different types of visualization and how humans perceive information.
  • Week 2 - Week 2: Visualization of Numerical Data
    In this week's module, you will start to think about how to visualize data effectively. This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color...
  • Week 3 - Week 3: Visualization of Non-Numerical Data
    In this week's module, you will learn how to visualize graphs that depict relationships between data items. You'll also plot data using coordinates that are not specifically provided by the data set.
  • Week 4 - Week 4: The Visualization Dashboard
    In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply te...

先决条件

没有。

讲师

John C. Hart
Professor of Computer Science
Department of Computer Science

编辑

伊利诺伊大学香槟分校(UIUC)成立于 1867 年。伊利诺伊大学的主校区位于芝加哥以南 200 公里处的香槟和厄巴纳双城。

根据世界大学排名中心(Center for World University Rankings)等多项排名,这所重点大学跻身全球最负盛名的大学之列,2020-21 年的全球排名为第 22 位。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

此内容评级为 4.2653/5
(没有评论)
此内容评级为 4.2653/5
(没有评论)
完成这个资源,写一篇评论