28 de jul de 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.
23 de set de 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!
por Fabiana G•
23 de jun de 2016
Course feels somewhat abandoned by instructors. Content is okay, but can't help the feeling that it's basically a cash cow - students would benefit a lot if instructors were move involved.
por Ashish T•
5 de mai de 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.
10 de mar de 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.
por Gianluca M•
13 de out de 2016
A nice introduction to the three plotting systems in R. The second part is devoted to clustering, but it is not detailed enough to be really useful.
por Andreas S J•
4 de out de 2017
Important and interesting stuff - but lots of it is repeated too much, which make it seem like 4 weeks is too much for the material.
por Dylan P•
13 de mai de 2018
I would have liked an assignment to focus on the clustering methods and I think dimension reduction was reviewed way too quick.
por ozan b•
5 de fev de 2017
Course is good in general but "HIERACHICAL CLUSTERING" part is hard to understand and is not clear, should be explained more.
por Casey B•
12 de mai de 2016
Good class - links and slides have not been updated recently. Frustrating to finish without the exact linkts to the data.
por Katharine R•
3 de mai de 2016
Good course, but the SWIRL exercises (and a few quiz questions) needed to be updated for the latest version of ggplot2.
por Johnny C•
6 de mar de 2018
In general was good, but there were some lectures and exercises which were disorganized ("plots with colors")
por Erkan E•
24 de jun de 2016
I wish there several comprehensive examples of exploring some real data as guided by the course instructors.
por Mehrdad P•
25 de ago de 2019
The course was overall ok, but I wish discussions about k-means, PCA and SVD were divided into two courses.
por Daniel P•
8 de dez de 2019
I've learned plotting in R. I expect to learn more in four weeks of "Data Science" specialization.
por Stuart A•
18 de jul de 2020
Course hasn't been updated in a long time, some of the data needed for the projects has migrated.
por Francisco M R O•
8 de jan de 2019
The third and fourth week were a big leap in knowledge and not really well explained, for me.
por sandeep d•
10 de mar de 2018
Excercises are very good. But I believe lecture could be more interesting and easily taught.
por Guy P•
26 de mar de 2016
It misses an assignment which will allow to practice the clustering skills.
por Alex s•
17 de jan de 2018
It focus too much on the tools and a little bit on the analysis
por Amit O•
30 de set de 2017
faced many technical difficluties in pratcice exerices in swirl
por Victor M C T•
4 de jan de 2022
The swirl labs failed, I never could load the "field" module.
por Eduardo V K•
28 de jun de 2020
There seems to be some outdated info in several tests.
por Rafael A•
23 de mar de 2017
First two weeks are too repetitive with other courses
por Kevin F•
15 de jul de 2020
pretty brief and basic. no assessment on clustering.
por Erwin V•
12 de mar de 2016
Interesting stuff, but not a lot of detail
por Oscar P G P•
17 de set de 2020
It's necessary for more examples!!!!