This is the second course I have taken from Roger Peng and both were outstanding. I have a strong math background, but not much of a background in stats, but this course was very approachable for me.
Very good course! It provide me the foundation in learning how to plot and interpret data. This will definitely strengthen my "R programming" to generate publication type figure for my genomics data!
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By Jose O•
Insights delivered by the course were great. However, I think it emphasizes too much the lattice and basic plot systems to the point it is redundant with functionality on ggplot. It should focus more on concepts and techniques for delivering richer and meaningful graphics using ggplot rather than talking that much about technicalities on the basic plot and lattice systems.
Assignments were too basic and don't reflect all the concepts learned in the lessons e.g. clustering, which I think are of great interest for researchers.
By Ahmed M•
The course is quite good and informative in the first two weeks covering a lot of information and a lot of exercises.
Week 3 is very unrelated and hard the videos and exercises are bad, and I had to do this part by myself again.
Also when we get to the final course project doesn't cover any of these techniques.
In my opinion, week 3 should be replaced with something more related to plotting systems and distributions, also one project would be enough.
By Andrew V•
The course covers very limited subset of plots and mostly oriented to R-specific technical routines rather than overall approaches. Case-study example is helpful and contrary to the most comments I do appreciate the final course project: this how most problems are stated in real life. If you would like to cover more fundamental concepts behind exploratory analysis I would recommend other sources.
By Mohammad A A•
It was a very useful course with some meaningful homework. My only criticism is that sometimes the theory and the practice are not well connected. Particularly the discussion of PCA, hierarchical clustering, k-means clustering and others. It would be benefit by providing more meaningful reading for those interesting in better connecting the two
By Arne S•
did not like the swirl-tutorials. they were very tedious and sometimes labelled correct commands as false (e.g. when you typed = instead of <- for assigning a value to a variable)
also I was surprised that for a beginner programming course in R you had to apply specific functions such as grepl without the function being introduced in the course
By Haggai Z•
unfortunately this course was not in the same class as earlier courses
cases presented were not interesting or self explained.
concepts were wage and the lectures were boring
i think i need to take parallel course for the same knowledge targets i want to really understand this