課程概述
熱門審閱
Y
2017年9月23日
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!
CC
2016年7月28日
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.
776 - 探索性数据分析 的 800 個評論（共 851 個）
創建者 Divvya T
•2017年10月29日
good course
創建者 Abhishek S
•2017年5月30日
good course
創建者 Ussama N
•2017年5月20日
Good course
創建者 贝叶斯统计
•2016年5月23日
还不错的R语言绘图入门
創建者 Colin Q
•2017年6月1日
very good!
創建者 Jeremy O
•2017年3月9日
excellent!
創建者 Tim B
•2016年12月29日
good intro
創建者 mounika n
•2022年9月18日
its good
創建者 Johnnery A
•2019年11月17日
Excelente
創建者 Khobindra N C
•2016年5月18日
Excellent
創建者 Rohit K S
•2020年9月20日
Nice!!
創建者 Tae J Y
•2017年3月31日
Good!
創建者 Edward A S M
•2019年12月5日
Good
創建者 木槿
•2018年11月2日
good
創建者 Anup K M
•2018年9月27日
good
創建者 Isaac F V N
•2017年4月18日
Nice
創建者 Chan E
•2016年3月22日
nice
創建者 Adur P
•2017年12月28日
A
創建者 Saurabh K
•2017年4月27日
G
創建者 deepak r
•2016年10月2日
d
創建者 Jose O
•2016年2月11日
Insights delivered by the course were great. However, I think it emphasizes too much the lattice and basic plot systems to the point it is redundant with functionality on ggplot. It should focus more on concepts and techniques for delivering richer and meaningful graphics using ggplot rather than talking that much about technicalities on the basic plot and lattice systems.
Assignments were too basic and don't reflect all the concepts learned in the lessons e.g. clustering, which I think are of great interest for researchers.
創建者 Ahmed M
•2016年8月24日
The course is quite good and informative in the first two weeks covering a lot of information and a lot of exercises.
Week 3 is very unrelated and hard the videos and exercises are bad, and I had to do this part by myself again.
Also when we get to the final course project doesn't cover any of these techniques.
In my opinion, week 3 should be replaced with something more related to plotting systems and distributions, also one project would be enough.
創建者 Andrew V
•2016年6月10日
The course covers very limited subset of plots and mostly oriented to R-specific technical routines rather than overall approaches. Case-study example is helpful and contrary to the most comments I do appreciate the final course project: this how most problems are stated in real life. If you would like to cover more fundamental concepts behind exploratory analysis I would recommend other sources.
創建者 Mohammad A A
•2019年3月11日
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
創建者 Arne S
•2019年8月31日
did not like the swirl-tutorials. they were very tedious and sometimes labelled correct commands as false (e.g. when you typed = instead of <- for assigning a value to a variable)
also I was surprised that for a beginner programming course in R you had to apply specific functions such as grepl without the function being introduced in the course
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