Applied Plotting, Charting & Data Representation in Python

Applied Plotting, Charting & Data Representation in Python

课程
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来源
  • 来自www.coursera.org
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  • 4 序列
  • 等级 中级
  • 字幕在 Korean

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课程详情

教学大纲

  • Week 1 - Module 1: Principles of Information Visualization
    In this module, you will get an introduction to principles of information visualization. We will be introduced to tools for thinking about design and graphical heuristics for thinking about creating effective visualizations. All of the course information on gr...
  • Week 2 - Module 2: Basic Charting
    In this module, you will delve into basic charting. For this week’s assignment, you will work with real world CSV weather data. You will manipulate the data to display the minimum and maximum temperature for a range of dates and demonstrate that you know how t...
  • Week 3 - Module 3: Charting Fundamentals
    In this module you will explore charting fundamentals. For this week’s assignment you will work to implement a new visualization technique based on academic research. This assignment is flexible and you can address it using a variety of difficulties - from an ...
  • Week 4 - Module 4: Applied Visualizations
    In this module, then everything starts to come together. Your final assignment is entitled “Becoming a Data Scientist.” This assignment requires that you identify at least two publicly accessible datasets from the same region that are consistent across a meani...

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讲师

Christopher Brooks

编辑

密歇根大学(UM,UMich 或简称密歇根)是一所公立研究型大学,位于美国密歇根州安阿伯市。该大学成立于 1817 年,是密歇根州历史最悠久、规模最大的大学。

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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。

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