For someone new to data analytics, this was another great, rewarding course. But as with the others, it demands exploration beyond the lectures and course materials.

Prof. Peng teaches you not only how to use the r base plotting system but also how to make wonderful graphs using the lattice and ggplot2 packages. Awesome course!

Very good resume of the previous lessons, you lear plotting, charts, working with big matrices, create a good practical workflow to understand your first analyses

Material teached in this course is must have for everybody who wants to use R for Data Science. Exploratory Data Analysis is one of first steps in every project.

Great course, an excellent instructor who makes the videos easy to watch and listen.

Assignments were very important to me, as I learned a lot while doing it.

I learned a lot, this course more than others, really expanded my competence and appreciate for the capabilities of R, especially is visualization toolbox.

Great course. Really does a good job of describing the goal of EDA and getting people excited about what questions you might be able to answer with data.

The data used for training are too big to be processed on my computer....

It is a real burden for my laptop when I use Rstudio to view some big files.....

pretty good starter course. I liked 40 min Case Study video at the end. It was very helpful to watch the instructor do the analysis from start to finish.

Excellent course!

Congratulations and thanks to the teachers of this course for sharing their knowledge on such an engaging subject that is Data Science.

I think this is a great course. I learned a lot about data plotting and some multivariate techniques for understanding underlaying patterns of the data.

Wonderful course with lot of graphical representation of the data. Dimensional reduction and Clustering analysis needs a bit more detailed explanation.

Very solid class in terms of R's base plotting system. I wish Coursera offered an advanced class focusing on ggplot2 and the wider world of dat viz.

This was a great course. I learned how to use several graphic systems within R, and to imagine how to make clear answers to questions using plots.

Very good class. Of the four I've taken so far, this one has given me the most confidence that I could be successful as a data scientist/analyst.

This was an important class because in future classes in the certification peer reviewed projects require some sort of exploratory data analysis.

Great Course. Lectures did diverge from Quizes and projects but still was good practice of looking at a set of data and reporting out from it.

Learned a great deal. Especially on clustering.

The second project could be a little more challenging; I overestimated the answers requested.

Highly recommended course for budding data scientist. I loved the John Hopkins univ pedagogy and peer review system. The content is great.

Covers all the basics of visualization in R. Well structured and there is plenty of opportunity to practice your newly acquired skills.

Great overview on explonatory data analysis and preparing graphs in R. I could apply the now knowledge directly to my current work.

The course is interesting and values practicality. The exercises and the projects really helped me a lot in grasping the knowledge!

This has been a great course. Accompanies by a book, it constitutes a great piece of material about exploring and visualizing data.

This course really helps you to learn the fundamental exploration techniques. The assignments and the examples are really helpful.

Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful