课程信息
3.3
8 个评分
4 个审阅
专项课程

第 1 门课程(共 4 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为21 小时

建议:Approximately 2-5 hours per week. ...
可选语言

英语(English)

字幕:英语(English)...
专项课程

第 1 门课程(共 4 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为21 小时

建议:Approximately 2-5 hours per week. ...
可选语言

英语(English)

字幕:英语(English)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 2 小时

Getting Started

...
Reading
3 个视频(共 26 分钟), 8 个阅读材料, 1 个测验
Video3 个视频
Introduction to Data Exploration7分钟
Data Challenges12分钟
Reading8 个阅读材料
About the Course10分钟
Best Practices for Online Learning10分钟
What will I be able to do when I complete this course?10分钟
Technology Tools10分钟
Learning Journey Syllabus10分钟
Lesson Introduction: What is Visualization?5分钟
Lesson Introduction: Data Exploration5分钟
Data Challenges5分钟
Quiz1 个练习
Knowledge Check: Data Visualization and Exploration30分钟
2
完成时间(小时)
完成时间为 4 小时

Introduction to Data Exploration Components

...
Reading
7 个视频(共 106 分钟), 8 个阅读材料, 2 个测验
Video7 个视频
Vector Data12分钟
Basis of a Vector Space11分钟
Vector Features8分钟
Vector Distance Measures26分钟
Vector Norms8分钟
Strings and Sequences24分钟
Reading8 个阅读材料
Lesson Introduction: Common Data Representations3分钟
Introduction to Data Models and Data Organization5分钟
Vector Data10分钟
Basis of Vector Data10分钟
Vector Features10分钟
Vector Distance Measures10分钟
Vector Norms10分钟
Strings and Spaces10分钟
Quiz2 个练习
Knowledge Check: Vector Data8分钟
Knowledge Check: Common Data Representations30分钟
3
完成时间(小时)
完成时间为 7 小时

Exploratory Querying and Visual Variables Used in Data Exploration and Visualization

...
Reading
4 个视频(共 83 分钟), 5 个阅读材料, 2 个测验
Video4 个视频
Visual Variables18分钟
Color Schemes and Design13分钟
Jupyter Notebooks Demonstration: Cereal Data9分钟
Reading5 个阅读材料
Exploratory Querying10分钟
Lesson Introduction: Visual Variables10分钟
Lesson Introduction: Color Schemes and Design10分钟
Next Steps: Jupyter Notebook Demonstrations10分钟
Jupyter Notebook Demonstration: Loading Data in Python10分钟
Quiz1 个练习
Knowledge Check: Visual Elements Used in Data Visualization30分钟
4
完成时间(小时)
完成时间为 3 小时

Statistical Graphics: Design Principles for the Most Widely Used Data Visualization Charts

...
Reading
5 个视频(共 45 分钟), 5 个阅读材料, 4 个测验
Video5 个视频
Introduction to Pie Charts5分钟
Bar and Line Charts10分钟
Design Considerations for Non-Data Components of Graphs9分钟
Creating Histograms14分钟
Reading5 个阅读材料
Exploratory Data Analysis10分钟
Lesson Introduction: Design Principles for Pie and Donut Charts10分钟
Lesson Introduction: Design Principles for Bar Charts and Line Charts10分钟
Design Considerations for Non-Data Components of Graphs10分钟
Lesson Introduction: Design Principles for Histograms10分钟
Quiz4 个练习
Knowledge Check: Exploratory Data Analysis30分钟
Knowledge Check: Pie and Donut Charts4分钟
Knowledge Check: Bar and Line Charts30分钟
Knowledge Check: Histograms30分钟
3.3

热门审阅

创建者 AFAug 15th 2018

The concepts were clearly explained in a practical manner. I am already able to upon it.

讲师

Avatar

Ross Maciejewsk

Associate Professor at Arizona State University in the School of Computing, Informatics & Decision Systems Engineering and Director of the Center for Accelerating Operational Efficiency
School of Computing, Informatics & Decision Systems Engineering
Avatar

K. Selcuk Candan

Professor of Computer Science and Engineering
Director of ASU’s Center for Assured and Scalable Data Engineering (CASCADE)
Graduation Cap

Start working towards your Master's degree

This 课程 is part of the 100% online Master of Computer Science from Arizona State University. If you are admitted to the full program, your courses count towards your degree learning.

关于 Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it. ...

关于 Data Visualization 专项课程

Visual representations generated by statistical models help us to make sense of large, complex datasets through interactive exploration, thereby enabling big data to realize its potential for informing decisions. This specialization covers techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data....
Data Visualization

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