Johns Hopkins University is offering its third course in Data Science Specialization with Coursera. Applicants will learn how to gather, clean, and manage data from a variety of sources. Subtitles will be in Chinese, English, Russian. Applicants. This is the third course in the track. We strongly recommend that you first take The Data Scientist’s Toolbox and R Programming. Coming session will be September 7, 2015 to October 4, 2015 and October 5, 2015 to November 1, 2105.
Course Details In Brief
Length: Approx 1 month.
Effort: 2-3 hours pw
Subject: Getting & Cleaning Data
Institution: Johns Hopkins University with Coursera
Languages: English, Subtitles will be in Chinese, English, Russian.
Certificate Available: Yes
Session: Starts September 7, 2015
Why Choose Johns Hopkins University MOOC?
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. This is a free online course. Applicants will understand and be able to apply the basic tools for data cleaning and manipulation after completing this course. Weekly lecture videos and quizzes and a final peer-assessed project.
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.
You Will Learn
Upon completion of this course you will be able to obtain data from a variety of sources. You will know the principles of tidy data and data sharing. Finally, you will understand and be able to apply the basic tools for data cleaning and manipulation.
For detailed information go through Coursera.