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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
5,972 個評分
874 條評論

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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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!

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651 - 探索性数据分析 的 675 個評論(共 843 個)

創建者 Hernan S

2018年3月6日

I learned a lot on this course, it helped me to understand and identify some of the situations I experience at work. Totally recommended if you want to apply it right away.

創建者 Terry L J

2018年10月18日

Seems this would type of course in an online learning MOOC would be better if it was more direct hands on "how to" and less focused on explanatory fluff (academic style) .

創建者 Igor T

2017年1月30日

Good introduction to patterns recognition. I found principal components analysis technique very useful. It would be great to provide more lectures about this topic.

創建者 Carlos G W

2020年9月6日

I enjoyed the course and learned a good deal. However, the level of challenge of the projects is much higher than the scant explanation provided by Dr. Peng.

創建者 DESIREE P

2021年4月19日

We learn very useful things. However, there is little emphasis on the statistical part (singular value decomposition) which I think deserved more exercises.

創建者 Diego T B

2017年11月17日

Interesting. But I would prefer the differences between comparison plots. What do they are useful and why is it better to plot with bars rather than lines.

創建者 Robert W S

2016年2月14日

A quiz or project question on k-means clustering or PCA would be nice. Overall the course provided solid coverage of the three main plotting systems in R.

創建者 Guillaume S

2018年6月8日

Interesting course to know plotting systems and to have a first view on clustering and dimensions reduction. This part should be however more developed !

創建者 Hyun J K

2018年4月17日

Great lecture. I hope there were more assignments. (1 per a week maybe).

I learned many statistical concepts and rcodes by taking this course.

Thank you:)

創建者 Hank C

2020年9月13日

Course material, lectures, exercises are excellent.

There was not enough theory, and there was too much specific to R and graphing packages covered.

創建者 Robin S

2017年2月28日

The course was fantastic. It was very challenging. I could do with some additional opportunities for exploratory analysis to reinforce some concepts.

創建者 Steven C

2017年3月15日

Good course on plotting libraries and useful plots in R. Wished there was more coverage of ggplot and less on lattice, but overall a useful course.

創建者 Ramakumar A

2020年7月3日

though presentation was good ,felt it should have been better in small sessions , lost interest half way through , continued later to complete

創建者 Ashutosh K S

2017年2月7日

It delves into many important topics. I would advice to explore the topics in much more depth on your own. Overall a good breadth of topics.

創建者 Bijan S

2016年1月30日

The course is useful with a lot of learning.

The second half needs more of improvement, I think the pace is quite fast compared to others.

創建者 Piyush D

2019年5月15日

Awesome course ! It reaches you the crux of exploration of data . Although the SVD section could have been more thorough and detailed.

創建者 Marc T

2019年3月31日

Great introduction! I am eagerly awaiting the opportunity to apply clustering and dimension reduction on real data in future courses.

創建者 Andres U

2017年2月21日

Really helpful. I really enjoyed getting familiar with plotting systems and also increasing my abilities dealing with data frames

創建者 Tony W

2016年6月21日

Very interesting and insightful course. I enjoyed it.

Assignment was okay, could have provided more challenge and depth though.

創建者 Nils M

2016年10月27日

Very good course. I liked the clustering examples. They were a little bit detached from the rest, but they were also great.

創建者 Christopher L

2017年7月23日

great intro to the plotting system. could be better with a dimension reduction assignment or quiz. this is very important!

創建者 Luiz E B J

2019年10月3日

I would rate 5 if the course wasn´t so focused on graphic analysis. But, even Like that it´s a very good experience.

創建者 David B

2017年5月25日

It was a lot of material in a short time frame, but I feel like I really have a good grasp of creating graphs in R.

創建者 Olav N

2020年6月22日

A very well organized course with video lessons that inspire to further exploration of the data analysis topic.

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.