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 Olav N•
A very well organized course with video lessons that inspire to further exploration of the data analysis topic.
par Jean-Philippe M•
More practical exercises using ggplot2 and clustering would be beneficial. Maybe need to be a 8 weeks module.
par Saurabh M•
Quantitatively assignments were less with no assignment for Week 3, however, the swirl exercises were good
par Anang S A•
this course is more about creating chart for EDA, need more material for reading/interpreting the charts
par Ankush K•
Useful for learning how to make plots, but not too detailed. Further analysis would have been helpful.
par Marcela Q•
Really good if you do not have any background in the field. But even if you do it is a great review
par Joe D•
Some of the links in the lectures are out of date, the forums usually have an updated link though.
par Lindy W•
Interesting learning more about ggplot and base plotting system, as well as clustering techniques.
par SUDIPTO M•
Thjis one of the best courses gives a great idea about plotting and exploratory data analysis !
par kajal s•
Exploratory data analysis is a very important skill and it is a very good course to learn it.
par Eric J S•
Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.
par Gerardo M F G•
PCA and SVD are not included in any assignment, it will be great if they are in the future
par Huang-Hsiang C•
Plotting is very usefulIt would be great to have a step by step breakdown of PCA and SVD.
par Mark F•
SVD could be explained a little better i think. I am still not exactly sure how it works.
par Irmgard T•
great course...though I would have preferred less focus on cluster and k means analysis.
par Manuel M M•
It is a good course but in my opinion it is basically support with the R swirl() guide
par Ross D•
Was a little perplexed that we did not address clustering at all in the assignments.
SVD & PCA videos need improvement in terms of background knowledge and understanding
par Migdonio G•
You should give more datasets for independent practice! Something we can play with.
par Sawyer W•
Good course. Mostly focuses on how to visualize statistics from the data quickly.
par Shuwen Y•
great course but wish to have more materials or explanation on svd and PCA part.
par Philip E W J•
Would have needed a litle more in depth explanation of the clustering analysis
par Subramanya N•
ggplot should have been given more emphasis. It warrants a course on its own!
par Greg R•
Pretty good course. Nice content. Middle section on clustering felt random.
par Pavel B•
I like the course and it was helpful in understanding how graphics work in R.