Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.
提供方
约翰霍普金斯大学
课程信息
90,219 次近期查看
学习Course的学生是
- Biostatisticians
- Data Analysts
- Risk Managers
- Data Scientists
- Process Analysts
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
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 2 小时
Week 1
In this first week of the course, we look at finding data and reading different file types.
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
Downloading Files7分钟
Reading Local Files4分钟
Reading Excel Files3分钟
Reading XML12分钟
Reading JSON5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
周
2完成时间为 1 小时
Week 2
Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL.
5 个视频 （总计 41 分钟）, 1 个测验
5 个视频
Reading from HDF56分钟
Reading from The Web6分钟
Reading From APIs7分钟
Reading From Other Sources4分钟
1 个练习
Week 2 Quiz10分钟
周
3完成时间为 10 小时
Week 3
Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2.
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
周
4完成时间为 6 小时
Week 4
Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects.
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
1000 个审阅42%
完成这些课程后已开始新的职业生涯
37%
通过此课程获得实实在在的工作福利
来自获取和整理数据的热门评论
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.
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.
讲师
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brian Caffo, PhD
Professor, BiostatisticsBloomberg 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.
常见问题
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
