Learner Reviews & Feedback for Exploratory Data Analysis by Johns Hopkins University

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

You should give more datasets for independent practice! Something we can play with.

Good course. Mostly focuses on how to visualize statistics from the data quickly.

great course but wish to have more materials or explanation on svd and PCA part.

Only the 3rd week was confusing but the confusion was revoked by swirl package

Would have needed a litle more in depth explanation of the clustering analysis

ggplot should have been given more emphasis. It warrants a course on its own!

Pretty good course. Nice content. Middle section on clustering felt random.

I like the course and it was helpful in understanding how graphics work in R.

End assignement was relatively easy compared to the examples in the lectures

Good beginners course with helpful tools to take a first glance to your data

Nice course, very useful. I wish the links were updated more often, however.

Learned a lot, the cluster and kmeans could have been more explained though

Great content for beginners to get familiar with various graphic tools in R

I suggest to shift a little more the focus on svd and clustering techniques

Good course, would have likes more practice & testing on the clustering stu

Challenging but great fun and really helped me to get more familiar with R

swirl is very used in this course. It is one of the best tools to learn R

Nice but the projects are way harder than the lessons and quizzes;

Nice course! Assignments could have been a little more challenging

The exploratory part was very good. But, PCA was a waste of time.

The plotting aspects of this course appealed to my visual sense.

This would be very effective for my personal skill enhancement.

More challenging Problem sets, as in the R Programming course !