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學生對 约翰霍普金斯大学 提供的 探索性数据分析 的評價和反饋

4.7
5,981 個評分

課程概述

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data....

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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.

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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Some of the links in the lectures are out of date, the forums usually have an updated link though.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.