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.
par Ankit A•
The exploratory part was very good. But, PCA was a waste of time.
par Jeff B•
The plotting aspects of this course appealed to my visual sense.
par Ashish S•
This would be very effective for my personal skill enhancement.
par Pierre D•
More challenging Problem sets, as in the R Programming course !
par Frederik C•
High quality course, but the order of lectures is not perfect
par Richard D•
Great overview, especially the parts on dimension reduction.
par YOGESH R•
sorry, but I didn't understood much from 3rd and 4th week..
par Sakshat R•
Really nice course! Great instructor and good case studies!
par Vebashini N•
Thank you, i learnt a lot and will continue on my journey.
par Rajeev D•
It was a great experience to complete such a good course.
par Sahil S•
Best course of the 4 taken so far in this specialization
par Paul M•
Very good introduction to the various graphing systems.
par Dai Y•
Improvement should be done to the materials of Week 3.
par Giovanni M C V•
Excellent course with great didactic. Congratulations!
Hopefully it could be clearer on dimension reduction.
par Murugesan A•
Well crafted, carefully designed learning materials!
par Daniiar B•
NIce course, but the lectures are a little tedious
par Alan C•
Decent overview of the graphing fundamentals in R
par Shivanand R K•
Great and Excellent thoughts and course material.
par Mohammad F H•
Very detailed. Like the case study by Dr. Peng.
par Nilrey J D C•
This is a good introduction to do EDA using R.
par Ratnikov Y•
Clustering is overwhelming field of knowledge.
More instructions on SVD/PCA would be welcome
par Christoph G•
A nice coursera, but I was a bit lost SVD.
par Freddy M C F•
Very good Introductory Course. Thank you!