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!
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.
par Štefan Š•
I found it very useful.
Some space for improvement are better coding skills (naming variables) and
some more complex topics like SVD / PCA should be explained in a more intuitive way.
par Diego P G•
It's a very good course. Week 3 was a little bit more challenging than expected, as well as assignment 2, but you get a good idea of how to use all the different plotting systems
par Christian B•
The course is interesting and the content is relevant. I do think that there are some issues with project 2 though. I did provide feedback on that to the course administrators.
par Hernan D S P•
I learned a lot on this course, it helped me to understand and identify some of the situations I experience at work. Totally recommended if you want to apply it right away.
par Terry L J•
Seems this would type of course in an online learning MOOC would be better if it was more direct hands on "how to" and less focused on explanatory fluff (academic style) .
par Igor T•
Good introduction to patterns recognition. I found principal components analysis technique very useful. It would be great to provide more lectures about this topic.
par Carlos G W•
I enjoyed the course and learned a good deal. However, the level of challenge of the projects is much higher than the scant explanation provided by Dr. Peng.
par DESIREE P•
We learn very useful things. However, there is little emphasis on the statistical part (singular value decomposition) which I think deserved more exercises.
par Diego T B•
Interesting. But I would prefer the differences between comparison plots. What do they are useful and why is it better to plot with bars rather than lines.
par Robert W S•
A quiz or project question on k-means clustering or PCA would be nice. Overall the course provided solid coverage of the three main plotting systems in R.
par Guillaume S•
Interesting course to know plotting systems and to have a first view on clustering and dimensions reduction. This part should be however more developed !
par Hyun J K•
Great lecture. I hope there were more assignments. (1 per a week maybe).
I learned many statistical concepts and rcodes by taking this course.
par Hank C•
Course material, lectures, exercises are excellent.
There was not enough theory, and there was too much specific to R and graphing packages covered.
par Robin S•
The course was fantastic. It was very challenging. I could do with some additional opportunities for exploratory analysis to reinforce some concepts.
par Steven C•
Good course on plotting libraries and useful plots in R. Wished there was more coverage of ggplot and less on lattice, but overall a useful course.
par Ramakumar A•
though presentation was good ,felt it should have been better in small sessions , lost interest half way through , continued later to complete
par Ashutosh K S•
It delves into many important topics. I would advice to explore the topics in much more depth on your own. Overall a good breadth of topics.
par Bijan S•
The course is useful with a lot of learning.
The second half needs more of improvement, I think the pace is quite fast compared to others.
par Piyush D•
Awesome course ! It reaches you the crux of exploration of data . Although the SVD section could have been more thorough and detailed.
par Marc T•
Great introduction! I am eagerly awaiting the opportunity to apply clustering and dimension reduction on real data in future courses.
par Andres U•
Really helpful. I really enjoyed getting familiar with plotting systems and also increasing my abilities dealing with data frames
par Tony W•
Very interesting and insightful course. I enjoyed it.
Assignment was okay, could have provided more challenge and depth though.
par Nils M•
Very good course. I liked the clustering examples. They were a little bit detached from the rest, but they were also great.
par Christopher L•
great intro to the plotting system. could be better with a dimension reduction assignment or quiz. this is very important!
par Luiz E B J•
I would rate 5 if the course wasn´t so focused on graphic analysis. But, even Like that it´s a very good experience.