课程信息
4.7
3,832 ratings
577 reviews
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data....
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100% 在线课程

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建议:5 hours/week

完成时间大约为15 小时
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字幕:English, Chinese (Simplified)

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

Exploratory Data AnalysisGgplot2R ProgrammingCluster Analysis
Stacks

Course 4 of 10 in the

Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Clock

建议:5 hours/week

完成时间大约为15 小时
Comment Dots

English

字幕:English, Chinese (Simplified)

教学大纲 - 您将从这门课程中学到什么

1

章节
Clock
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(共 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

章节
Clock
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(共 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

章节
Clock
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(共 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

章节
Clock
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(共 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
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热门审阅

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!

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.

讲师

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

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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常见问题

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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