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.
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!
par Hernan D S P•
Mar 06, 2018
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•
Oct 18, 2018
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•
Jan 30, 2017
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•
Sep 06, 2020
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 Diego T B•
Nov 17, 2017
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•
Feb 14, 2016
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•
Jun 08, 2018
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•
Apr 17, 2018
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•
Sep 13, 2020
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•
Feb 28, 2017
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•
Mar 15, 2017
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•
Jul 03, 2020
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•
Feb 07, 2017
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•
Jan 30, 2016
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•
May 15, 2019
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•
Apr 01, 2019
Great introduction! I am eagerly awaiting the opportunity to apply clustering and dimension reduction on real data in future courses.
par Andres U•
Feb 22, 2017
Really helpful. I really enjoyed getting familiar with plotting systems and also increasing my abilities dealing with data frames
par Tony W•
Jun 21, 2016
Very interesting and insightful course. I enjoyed it.
Assignment was okay, could have provided more challenge and depth though.
par Nils M•
Oct 27, 2016
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•
Jul 24, 2017
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•
Oct 03, 2019
I would rate 5 if the course wasn´t so focused on graphic analysis. But, even Like that it´s a very good experience.
par David B•
May 26, 2017
It was a lot of material in a short time frame, but I feel like I really have a good grasp of creating graphs in R.
par Olav N•
Jun 22, 2020
A very well organized course with video lessons that inspire to further exploration of the data analysis topic.
par Jean-Philippe M•
Jun 16, 2019
More practical exercises using ggplot2 and clustering would be beneficial. Maybe need to be a 8 weeks module.
par Saurabh M•
Jul 30, 2017
Quantitatively assignments were less with no assignment for Week 3, however, the swirl exercises were good