課程概述
熱門審閱
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.
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!
676 - 探索性数据分析 的 700 個評論（共 844 個）
創建者 Jean-Philippe M
•2019年6月15日
More practical exercises using ggplot2 and clustering would be beneficial. Maybe need to be a 8 weeks module.
創建者 Saurabh M
•2017年7月30日
Quantitatively assignments were less with no assignment for Week 3, however, the swirl exercises were good
創建者 Anang S A
•2019年7月15日
this course is more about creating chart for EDA, need more material for reading/interpreting the charts
創建者 Ankush K
•2017年6月15日
Useful for learning how to make plots, but not too detailed. Further analysis would have been helpful.
創建者 Marcela Q
•2019年11月26日
Really good if you do not have any background in the field. But even if you do it is a great review
創建者 Joe D
•2019年5月19日
Some of the links in the lectures are out of date, the forums usually have an updated link though.
創建者 Lindy W
•2016年11月24日
Interesting learning more about ggplot and base plotting system, as well as clustering techniques.
創建者 SUDIPTO M
•2017年10月26日
Thjis one of the best courses gives a great idea about plotting and exploratory data analysis !
創建者 Kajal S
•2019年10月3日
Exploratory data analysis is a very important skill and it is a very good course to learn it.
創建者 Eric J S
•2019年5月29日
Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.
創建者 Gerardo M F G
•2020年11月15日
PCA and SVD are not included in any assignment, it will be great if they are in the future
創建者 Huang-Hsiang C
•2020年6月9日
Plotting is very usefulIt would be great to have a step by step breakdown of PCA and SVD.
創建者 Mark F
•2017年7月5日
SVD could be explained a little better i think. I am still not exactly sure how it works.
創建者 Irmgard T
•2017年7月23日
great course...though I would have preferred less focus on cluster and k means analysis.
創建者 Manuel M M
•2019年9月27日
It is a good course but in my opinion it is basically support with the R swirl() guide
創建者 Ross D
•2019年9月4日
Was a little perplexed that we did not address clustering at all in the assignments.
創建者 Prathamesh
•2017年7月9日
SVD & PCA videos need improvement in terms of background knowledge and understanding
創建者 Migdonio G
•2018年4月9日
You should give more datasets for independent practice! Something we can play with.
創建者 Sawyer W
•2017年8月1日
Good course. Mostly focuses on how to visualize statistics from the data quickly.
創建者 Shuwen Y
•2016年6月11日
great course but wish to have more materials or explanation on svd and PCA part.
創建者 KAMAL D
•2021年6月1日
Only the 3rd week was confusing but the confusion was revoked by swirl package
創建者 Philip W
•2017年3月21日
Would have needed a litle more in depth explanation of the clustering analysis
創建者 Subramanya N
•2017年12月12日
ggplot should have been given more emphasis. It warrants a course on its own!
創建者 Greg R
•2016年5月30日
Pretty good course. Nice content. Middle section on clustering felt random.
創建者 Pavel B
•2016年2月18日
I like the course and it was helpful in understanding how graphics work in R.
Coursera Footer
