Sep 24, 2017
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!
Jul 29, 2016
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.
by Vasco A F R B P•
Apr 05, 2020
One of the most fulfilling courses I've taken. Already used what I've learned to analyse the COVID 19 data and get more information from it, learning at the same time.
by Sanjay L•
May 22, 2018
Week 3 - clustering concepts appear hard to comprehend initially. This week should first start with a practical example/use of clustering and then move on to technical
by Asif M A•
May 04, 2016
Its one of the most important steps in learning data science. Before even jumping into the real thing, it is worthwhile to explore a little bit the data set at hand.
by Tim S•
Apr 19, 2016
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.
by Giovanna A G•
Oct 15, 2016
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!
by Rob S•
Jan 21, 2020
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
by Piotr K•
Oct 23, 2016
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.
by Araks S•
Jun 20, 2017
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.
by Gary T•
Aug 20, 2019
I learned a lot, this course more than others, really expanded my competence and appreciate for the capabilities of R, especially is visualization toolbox.
by Jeffrey G•
Jul 06, 2017
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.
Dec 12, 2018
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.....
by Dmytro K•
Feb 04, 2016
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.
by Deleted A•
Jul 23, 2018
Congratulations and thanks to the teachers of this course for sharing their knowledge on such an engaging subject that is Data Science.
by David J G•
Feb 03, 2016
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.
by Sandeepkumar P•
Feb 02, 2016
Wonderful course with lot of graphical representation of the data. Dimensional reduction and Clustering analysis needs a bit more detailed explanation.
by Nathan D•
Oct 19, 2016
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.
by Alfredo A•
Feb 06, 2018
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.
by Athanasios S•
Jul 17, 2018
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.
by Alexis C•
Aug 11, 2017
This was an important class because in future classes in the certification peer reviewed projects require some sort of exploratory data analysis.
by David S•
Apr 22, 2019
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.
by Fenneken K•
Feb 07, 2020
Learned a great deal. Especially on clustering.
The second project could be a little more challenging; I overestimated the answers requested.
by Ishwar N•
Feb 18, 2018
Highly recommended course for budding data scientist. I loved the John Hopkins univ pedagogy and peer review system. The content is great.
by Charles K•
Feb 06, 2016
Covers all the basics of visualization in R. Well structured and there is plenty of opportunity to practice your newly acquired skills.
by Donald M•
Oct 17, 2020
Excellent course, it has allowed me to learn the bases to explore and analyze data.
Dear teachers thank you for sharing your knowledge
by Roman O B•
Sep 10, 2017
Great overview on explonatory data analysis and preparing graphs in R. I could apply the now knowledge directly to my current work.