Learner Reviews & Feedback for Exploratory Data Analysis by Johns Hopkins University
About the Course
Top reviews
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!
651 - 675 of 816 Reviews for Exploratory Data Analysis
By David B
•It was a lot of material in a short time frame, but I feel like I really have a good grasp of creating graphs in R.
By Olav N
•A very well organized course with video lessons that inspire to further exploration of the data analysis topic.
By Jean-Philippe M
•More practical exercises using ggplot2 and clustering would be beneficial. Maybe need to be a 8 weeks module.
By Saurabh M
•Quantitatively assignments were less with no assignment for Week 3, however, the swirl exercises were good
By Anang S A
•this course is more about creating chart for EDA, need more material for reading/interpreting the charts
By Ankush K
•Useful for learning how to make plots, but not too detailed. Further analysis would have been helpful.
By Marcela Q
•Really good if you do not have any background in the field. But even if you do it is a great review
By Joe D
•Some of the links in the lectures are out of date, the forums usually have an updated link though.
By Lindy W
•Interesting learning more about ggplot and base plotting system, as well as clustering techniques.
By SUDIPTO M
•Thjis one of the best courses gives a great idea about plotting and exploratory data analysis !
By kajal s
•Exploratory data analysis is a very important skill and it is a very good course to learn it.
By Eric J S
•Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.
By Gerardo M F G
•PCA and SVD are not included in any assignment, it will be great if they are in the future
By Huang-Hsiang C
•Plotting is very usefulIt would be great to have a step by step breakdown of PCA and SVD.
By Mark F
•SVD could be explained a little better i think. I am still not exactly sure how it works.
By Irmgard T
•great course...though I would have preferred less focus on cluster and k means analysis.
By Manuel M M
•It is a good course but in my opinion it is basically support with the R swirl() guide
By Ross D
•Was a little perplexed that we did not address clustering at all in the assignments.
By Prathamesh
•SVD & PCA videos need improvement in terms of background knowledge and understanding
By Migdonio G
•You should give more datasets for independent practice! Something we can play with.
By Sawyer W
•Good course. Mostly focuses on how to visualize statistics from the data quickly.
By Shuwen Y
•great course but wish to have more materials or explanation on svd and PCA part.
By Philip E W J
•Would have needed a litle more in depth explanation of the clustering analysis
By Subramanya N
•ggplot should have been given more emphasis. It warrants a course on its own!
By Greg R
•Pretty good course. Nice content. Middle section on clustering felt random.
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