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
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.
完成时间为 2 小时
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
完成时间为 1 小时
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
完成时间为 10 小时
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
完成时间为 6 小时
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.