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.
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 Chun-Fu 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 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
par Anang S A•
Jul 16, 2019
this course is more about creating chart for EDA, need more material for reading/interpreting the charts
par Ankush K•
Jun 15, 2017
Useful for learning how to make plots, but not too detailed. Further analysis would have been helpful.
par Marcela Q•
Nov 26, 2019
Really good if you do not have any background in the field. But even if you do it is a great review
par Joe D•
May 19, 2019
Some of the links in the lectures are out of date, the forums usually have an updated link though.
par Lindy W•
Nov 24, 2016
Interesting learning more about ggplot and base plotting system, as well as clustering techniques.
par SUDIPTO M•
Oct 26, 2017
Thjis one of the best courses gives a great idea about plotting and exploratory data analysis !
par kajal s•
Oct 03, 2019
Exploratory data analysis is a very important skill and it is a very good course to learn it.
par Eric J S•
May 29, 2019
Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.
par Mark F•
Jul 05, 2017
SVD could be explained a little better i think. I am still not exactly sure how it works.
par Irmgard T•
Jul 23, 2017
great course...though I would have preferred less focus on cluster and k means analysis.
par Manuel M M•
Sep 27, 2019
It is a good course but in my opinion it is basically support with the R swirl() guide
par Ross D•
Sep 04, 2019
Was a little perplexed that we did not address clustering at all in the assignments.
par Prathamesh N•
Jul 09, 2017
SVD & PCA videos need improvement in terms of background knowledge and understanding
par Migdonio G•
Apr 10, 2018
You should give more datasets for independent practice! Something we can play with.
par Sawyer W•
Aug 02, 2017
Good course. Mostly focuses on how to visualize statistics from the data quickly.
par Shuwen Y•
Jun 11, 2016
great course but wish to have more materials or explanation on svd and PCA part.