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.
Enrolled in previous offering but didn't have the time to participate. Am early on in the videos this time, and am impressed. This is a challenging subject to simplify and I think Peng is doing a great job so far. His lectures are easily more productive than using the pile of R books I have. On the one hand, Peng has a feeling for programming language design, and on the other hand his presentation is driven by anticipated "data" needs.
I just finished the course. The whole experience was great. The programming tasks were fairly non-trivial. The knowledge you would gain is absolutely worth spending an few hours a week on the course for four weeks!
I wish the lectures were more informative and helpful in answering at least homework questions. I found myslf learning from google eventually. I started Data Analysis by Jeff Leek, and like it much better so far. Everything is well explained, relevant exercises, there practical examples of real life applications.
Hopefully, it will continue to be good!
Expected much more. This is not an introductory course to R. It requires you to have previous knowledge and experience in programming. Not all necessary knowledge to complete programming assignments is covered in video lectures. It's necessary to read and study from other sources. 3-5 weekly hours is not enough, be prepared to invest much more time trying to find our how to do things by yourself. 4 weeks is not enough to acquire proper knowledge of R. Basic topics are covered and some examples are shown, but you are not taught how to do things the R way. That is for you to find out.
I took the course a couple of months ago and have been working with R a lot since. Peng did an incredible job - making a very complicated subject understandable, with excellent lectures and excellent assignments.
I highly recommend this course.
The course is an introduction to programming in R, and as that it is quite good. It doesn't deal with many particularly difficult statistical concepts, but when he does he sticks to the name of the course and teaches only how to program it (e.g. on the lecture on simulation). I thought the pace was quite good, but some people in the forums complained it was too fast for them, so be warned (and as someone mentioned, be prepared to google some, but you should do that always: google is the bread-and-butter of any programer).
A nice 4 week mini-course that thought me how to write R scripts. The video lectures are sometimes academic in the bad sense of the word (showing great learning, but not really that relevant). The weekly quiz questions were very functional. The real meat of this course were both practical assignments. I learned a lot from doing these (WARNING: you are given a real data set and real task to perform using these sets, but I had to use Google to find ways to do the task - very few hints and examples were given in the lectures -) After finishing the assignments I had acquired the skill to write R scripts. For me the course worked well, but I would not recommend it to those who are looking for an easy intro to R.