124,980 次近期查看

## 36%

### 您将学到的内容有

• Apply data cleaning basics to make data "tidy"
• Obtain usable data from the web, APIs, and databases
• Understand common data storage systems
• Use R for text and date manipulation

### 您将获得的技能

Data ManipulationRegular Expression (REGEX)R ProgrammingData Cleansing

1

## Week 1

9 个视频 （总计 67 分钟）, 4 个阅读材料, 1 个测验
9 个视频
Raw and Processed Data7分钟
Components of Tidy Data9分钟
The data.table Package11分钟
4 个阅读材料
Welcome to Week 110分钟
Syllabus10分钟
Pre-Course Survey10分钟
Practical R Exercises in swirl Part 110分钟
1 个练习
Week 1 Quiz10分钟
2

## Week 2

5 个视频 （总计 41 分钟）
5 个视频
Reading from The Web6分钟
Reading From Other Sources4分钟
1 个练习
Week 2 Quiz10分钟
3

## Week 3

7 个视频 （总计 60 分钟）, 1 个阅读材料, 4 个测验
7 个视频
Summarizing Data11分钟
Creating New Variables10分钟
Reshaping Data9分钟
Managing Data Frames with dplyr - Introduction3分钟
Managing Data Frames with dplyr - Basic Tools12分钟
Merging Data6分钟
1 个阅读材料
Practical R Exercises in swirl Part 210分钟
1 个练习
Week 3 Quiz10分钟
4

## Week 4

5 个视频 （总计 34 分钟）, 2 个阅读材料, 3 个测验
5 个视频
Regular Expressions I5分钟
Regular Expressions II8分钟
Working with Dates6分钟
Data Resources3分钟
2 个阅读材料
Practical R Exercises in swirl Part 410分钟
Post-Course Survey10分钟
1 个练习
Week 4 Quiz10分钟
4.6
1,041 条评论

### 来自获取和整理数据的热门评论

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.

This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.

### Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

### Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

### Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

### 关于 约翰霍普金斯大学

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....

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