课程信息
4.7
4,137 个评分
608 个审阅
专项课程

第 4 门课程(共 10 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
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根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为15 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English), 越南语, 中文(简体)

您将学到的内容有

  • Check

    Apply cluster analysis techniques to locate patterns in data

  • Check

    Make graphical displays of very high dimensional data

  • Check

    Understand analytic graphics and the base plotting system in R

  • Check

    Use advanced graphing systems such as the Lattice system

您将获得的技能

Cluster AnalysisGgplot2R ProgrammingExploratory Data Analysis
专项课程

第 4 门课程(共 10 门)

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。
完成时间(小时)

完成时间大约为15 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English), 越南语, 中文(简体)

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 20 小时

Week 1

This week covers the basics of analytic graphics and the base plotting system in R. We've also included some background material to help you install R if you haven't done so already. ...
Reading
15 个视频 (总计 109 分钟), 6 个阅读材料, 7 个测验
Video15 个视频
Installing R on Windows (3.2.1)3分钟
Installing R on a Mac (3.2.1)1分钟
Installing R Studio (Mac)3分钟
Setting Your Working Directory (Windows)7分钟
Setting Your Working Directory (Mac)7分钟
Principles of Analytic Graphics12分钟
Exploratory Graphs (part 1)9分钟
Exploratory Graphs (part 2) 5分钟
Plotting Systems in R9分钟
Base Plotting System (part 1)11分钟
Base Plotting System (part 2)6分钟
Base Plotting Demonstration16分钟
Graphics Devices in R (part 1)5分钟
Graphics Devices in R (part 2)7分钟
Reading6 个阅读材料
Welcome to Exploratory Data Analysis10分钟
Syllabus10分钟
Pre-Course Survey10分钟
Exploratory Data Analysis with R Book10分钟
The Art of Data Science10分钟
Practical R Exercises in swirl Part 110分钟
Quiz1 个练习
Week 1 Quiz20分钟
2
完成时间(小时)
完成时间为 17 小时

Week 2

Welcome to Week 2 of Exploratory Data Analysis. This week covers some of the more advanced graphing systems available in R: the Lattice system and the ggplot2 system. While the base graphics system provides many important tools for visualizing data, it was part of the original R system and lacks many features that may be desirable in a plotting system, particularly when visualizing high dimensional data. The Lattice and ggplot2 systems also simplify the laying out of plots making it a much less tedious process....
Reading
7 个视频 (总计 61 分钟), 1 个阅读材料, 6 个测验
Video7 个视频
Lattice Plotting System (part 2)6分钟
ggplot2 (part 1)6分钟
ggplot2 (part 2)13分钟
ggplot2 (part 3)9分钟
ggplot2 (part 4)10分钟
ggplot2 (part 5)8分钟
Reading1 个阅读材料
Practical R Exercises in swirl Part 210分钟
Quiz1 个练习
Week 2 Quiz20分钟
3
完成时间(小时)
完成时间为 13 小时

Week 3

Welcome to Week 3 of Exploratory Data Analysis. This week covers some of the workhorse statistical methods for exploratory analysis. These methods include clustering and dimension reduction techniques that allow you to make graphical displays of very high dimensional data (many many variables). We also cover novel ways to specify colors in R so that you can use color as an important and useful dimension when making data graphics. All of this material is covered in chapters 9-12 of my book Exploratory Data Analysis with R....
Reading
12 个视频 (总计 77 分钟), 1 个阅读材料, 4 个测验
Video12 个视频
Hierarchical Clustering (part 2)5分钟
Hierarchical Clustering (part 3)7分钟
K-Means Clustering (part 1)5分钟
K-Means Clustering (part 2)4分钟
Dimension Reduction (part 1)7分钟
Dimension Reduction (part 2)9分钟
Dimension Reduction (part 3)6分钟
Working with Color in R Plots (part 1)4分钟
Working with Color in R Plots (part 2)7分钟
Working with Color in R Plots (part 3)6分钟
Working with Color in R Plots (part 4)3分钟
Reading1 个阅读材料
Practical R Exercises in swirl Part 310分钟
4
完成时间(小时)
完成时间为 6 小时

Week 4

This week, we'll look at two case studies in exploratory data analysis. The first involves the use of cluster analysis techniques, and the second is a more involved analysis of some air pollution data. How one goes about doing EDA is often personal, but I'm providing these videos to give you a sense of how you might proceed with a specific type of dataset. ...
Reading
2 个视频 (总计 55 分钟), 2 个阅读材料, 2 个测验
Video2 个视频
Air Pollution Case Study40分钟
Reading2 个阅读材料
Practical R Exercises in swirl Part 410分钟
Post-Course Survey10分钟
4.7
608 个审阅Chevron Right
职业方向

37%

完成这些课程后已开始新的职业生涯
工作福利

43%

通过此课程获得实实在在的工作福利
职业晋升

18%

加薪或升职

热门审阅

创建者 CCJul 29th 2016

This is the second course I have taken from Roger Peng and both were outstanding. I have a strong math background, but not much of a background in stats, but this course was very approachable for me.

创建者 YSep 24th 2017

Very good course! It provide me the foundation in learning how to plot and interpret data. This will definitely strengthen my "R programming" to generate publication type figure for my genomics data!

讲师

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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

关于 Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

关于 Data Science 专项课程

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
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