Johns Hopkins is launching a nine-course Data Science track at Coursera. More details here:http://bit.ly/1gtwGvc
The first three classes start April 7 and run for four weeks:
The Data Scientist’s Toolbox
Upon completion of this course you will be able to identify and classify data science problems. You will also have created your Github account, created your first repository, and pushed your first markdown file to your account.
The course will cover the following material each week:
Week 1: Overview of R, R data types and objects, reading and writing data
Week 2: Control structures, functions, scoping rules, dates and times
Week 3: Loop functions, debugging tools
Week 4: Simulation, code profiling
Getting and Cleaning Data
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.
While the listing shows each class costs $49, you can take all the classes for free except for participating in the final Capstone project. Also, if you want a completion certificate, you need to pay.
Note that you don't need to take all the classes, if just one or two interest you, although you should have needed knowledge for the later classes if you haven't taken the earlier courses.