Learn to use R for FREE with Coursera

December 21, 2012

(This article was first published on Pairach Piboonrungroj » R, and kindly contributed to R-bloggers)


Coursera is offering free courses about R among other interesting subjects. The first one on the application of R in financial econometrics is happening this week (but you can still enroll). There are two more courses starting in January 2013 are more about using R to analyse the data. The differences between the two are stated that:

“This course (Data Analysis by Jeff Leek) will focus on how to plan, carry out, and communicate analyses of real data sets. While we will cover the basics of how to use R to implement these analyses, the course will not cover specific programming skills. Computing for Data Analysis will cover some statistical programming topics that will be useful for this class, but it is not a prerequisite for the course”.

There are more FREE online tutorials about R apart from those in Coursera. Here is the like to list of more than 90 R tutorials.

Introduction to Computational Finance and Financial Econometrics

by Eric Zivot

Learn mathematical and statistical tools and techniques used in quantitative and computational finance. Use the open source R statistical programming language to analyze financial data, estimate statistical models, and construct optimized portfolios. Analyze real world data and solve real world problems.

Next session: Dec 17th 2012 (10 weeks long)

More information: here

Data Analysis 

by Jeff Leek

Learn about the most effective data analysis methods to solve problems and achieve insight.

Next Session:
Jan 2nd 2013 (4 weeks long) You are enrolled!
Workload: 3-5 hours/week

More information: here

Computing for Data Analysis

Roger D. Peng

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

Next Session:
Jan 22nd 2013 (8 weeks long) You are enrolled!
Workload: 3-5 hours/week

More information: here

The VDO of this course are also available in YouTube channel of Dr.Roger Peng. So you can check it out below.

Playlist: Week 1

Playlist: Week 2

Playlist: Week 3

Playlist: Week 4

Filed under: Education, R Tagged: coursera

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