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!
par Marco A I E•
Loved it! It took me longer than expected due to work and family issues, but I went so many times to the materials and even use some ggplot2 for work that ended being quite fulfilling.
par Chris B•
I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.
par Leonardo M d O•
Excellent course. I learned more than I expected. A technique that was always at hand but never used: perform analysis through graphics exploring countless variables at a single time.
par Yudhanjaya W•
This was incredibly useful because it gives you a feel for the datasets and tools with which to explore them. I really wasn't aware of the base and lattice plotting systems until now.
par Nino P•
Amazing! Learing so much how to explore the data for the first time. This is a must do for anyone who wants to be a data scientist. Now I can use ggplot without any trouble. Thanks!
par VÍCTOR M G P•
Me encantó el curso, fue muy fluido con muy buenos ejemplos y las actividades prácticas fueron realmente un aporte y un desafío para complementar los contenidos entregados
par Manuel A A T•
This is a great introductory course on the topic and on R language.
You will get acquainted with basic R functions which are most useful for initial statistical analysis.
par Vasco A F R B P•
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.
par Sanjay L•
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
par Asif M A•
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.
par Tim S•
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.
par Giovanna A G•
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!
par Rob S•
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
par Piotr K•
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.
par Araks S•
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.
par Gary T•
I learned a lot, this course more than others, really expanded my competence and appreciate for the capabilities of R, especially is visualization toolbox.
par Jeffrey G•
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.....
par Dmytro K•
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.
par Deleted A•
Congratulations and thanks to the teachers of this course for sharing their knowledge on such an engaging subject that is Data Science.
par David J G•
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.
par Sandeepkumar P•
Wonderful course with lot of graphical representation of the data. Dimensional reduction and Clustering analysis needs a bit more detailed explanation.
par Nathan D•
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.
par Alfredo A•
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.
par Athanasios S•
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.