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!
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.
By Olga H•
Good course, would have likes more practice & testing on the clustering stu
By Andrew W•
Challenging but great fun and really helped me to get more familiar with R
By Carlos L•
swirl is very used in this course. It is one of the best tools to learn R
By Caio H•
Nice but the projects are way harder than the lessons and quizzes;
By Anirban C•
Nice course! Assignments could have been a little more challenging
By Ankit A•
The exploratory part was very good. But, PCA was a waste of time.
By Jeff B•
The plotting aspects of this course appealed to my visual sense.
By Ashish S•
This would be very effective for my personal skill enhancement.
By Pierre D•
More challenging Problem sets, as in the R Programming course !
By Frederik C•
High quality course, but the order of lectures is not perfect
By Richard D•
Great overview, especially the parts on dimension reduction.
By YOGESH R•
sorry, but I didn't understood much from 3rd and 4th week..
By Sakshat R•
Really nice course! Great instructor and good case studies!
By Vebashini N•
Thank you, i learnt a lot and will continue on my journey.
By Paul M•
Very good introduction to the various graphing systems.
By Dai Y•
Improvement should be done to the materials of Week 3.
By Giovanni M C V•
Excellent course with great didactic. Congratulations!
Hopefully it could be clearer on dimension reduction.
By Murugesan A•
Well crafted, carefully designed learning materials!
By Daniiar B•
NIce course, but the lectures are a little tedious
By Alan C•
Decent overview of the graphing fundamentals in R
By Shivanand R K•
Great and Excellent thoughts and course material.
By Mohammad F H•
Very detailed. Like the case study by Dr. Peng.
By Nilrey J D C•
This is a good introduction to do EDA using R.
By Ratnikov Y•
Clustering is overwhelming field of knowledge.