In particular, I am enrolled in an eight-week Data Analysis class from the John Hopkins Bloomberg School of Public Health, offered through the Coursera platform.
Professor Jeff Leek describes the R statistical programming course as:
"This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then we will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses. Here is a post where I describe how data analysis fits in with other quantitative subjects: http://simplystatistics.org/2013/01/10/the-landscape-of-data-analysis/"
|From NY Times, Published: January 26, 2013|
- Online videos
- Downloadable lecture notes
- Self-scoring online quizzes
- Lots of auxiliary reference material
- Course Wiki
- Course discussion forums
- Course Meetups
- Assignments which are peer graded