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 SUDIPTO M•
Oct 26, 2017
Thjis one of the best courses gives a great idea about plotting and exploratory data analysis !
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 Jha A•
Apr 19, 2018
very good to understand .
par Praveen k•
Oct 02, 2018
Sep 20, 2018
More instructions on SVD/PCA would be welcome
par Dai Y•
Aug 09, 2018
Improvement should be done to the materials of Week 3.
par Gao Q•
Jul 23, 2018
Great content for beginners to get familiar with various graphic tools in R
par Shreya S•
Apr 16, 2019
A great course to begin with Exploratory Data Analysis. It teaches you how to analyse data and generate visual reports. However, to actually become efficient at Data Visualization one needs to dig deep and make use of other resources apart from this course. Also K means clustering and other types are explained well in this course but it would have been useful if there were exercises to help implement it in some real problem. Overall this course leaves you confident and enthusiastic about Data Visualization.
par Eric J S•
May 29, 2019
Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.
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 Anang S A•
Jul 16, 2019
this course is more about creating chart for EDA, need more material for reading/interpreting the charts
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Some of the links in the lectures are out of date, the forums usually have an updated link though.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 Ross D•
Sep 04, 2019
Was a little perplexed that we did not address clustering at all in the assignments.
par claire b•
Sep 10, 2019
Course gives thorough introduction to basic tools for exploratory data analysis, including visualisation, PCA and clustering. Good mix of lectures, practical in swirl and programming assignment. Swirl practice are mostly a repetition of the examples in the presentations, which is a bit of a pity...and I missed a programming assignment on cluster analysis/PCA
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 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 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 kajal s•
Oct 03, 2019
Exploratory data analysis is a very important skill and it is a very good course to learn it.
par Nilrey J D C•
Oct 07, 2019
This is a good introduction to do EDA using R.
par Francisco M R O•
Jan 08, 2019
The third and fourth week were a big leap in knowledge and not really well explained, for me.
par Mohammad A A•
Mar 11, 2019
It was a very useful course with some meaningful homework. My only criticism is that sometimes the theory and the practice are not well connected. Particularly the discussion of PCA, hierarchical clustering, k-means clustering and others. It would be benefit by providing more meaningful reading for those interesting in better connecting the two
par Ashish T•
May 05, 2018
Great introduction to the plotting libraries in R and visualization of data.
However the introduction to hierarchical clustering, and Principle component analysis was extremely vague.
par Ray O C•
Dec 29, 2016
The first two weeks were good. The third was a bit confusing and the 4th one just felt like padding. A more in depth study of ggplot would probably be more beneficial as I felt like we were only scratching the surface with it
Mar 10, 2016
The course content applies to R. The teachers focused on the programming language rather than the application of the existing graphs to explore data.
par Guy P•
Mar 26, 2016
It misses an assignment which will allow to practice the clustering skills.