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学生对 Johns Hopkins University 提供的 Exploratory Data Analysis 的评价和反馈

4.7
6,085 个评分

课程概述

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....

热门审阅

YF

Sep 23, 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!

CC

Jul 28, 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.

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701 - Exploratory Data Analysis 的 725 个评论(共 864 个)

创建者 Eric J S

May 29, 2019

Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.

创建者 Gerardo M F G

Nov 15, 2020

PCA and SVD are not included in any assignment, it will be great if they are in the future

创建者 Huang-Hsiang C

Jun 9, 2020

Plotting is very usefulIt would be great to have a step by step breakdown of PCA and SVD.

创建者 Mark F

Jul 5, 2017

SVD could be explained a little better i think. I am still not exactly sure how it works.

创建者 Irmgard T

Jul 23, 2017

great course...though I would have preferred less focus on cluster and k means analysis.

创建者 Manolo M

Sep 27, 2019

It is a good course but in my opinion it is basically support with the R swirl() guide

创建者 Ross D

Sep 4, 2019

Was a little perplexed that we did not address clustering at all in the assignments.

创建者 Prathamesh

Jul 9, 2017

SVD & PCA videos need improvement in terms of background knowledge and understanding

创建者 Migdonio G

Apr 9, 2018

You should give more datasets for independent practice! Something we can play with.

创建者 Sawyer W

Aug 1, 2017

Good course. Mostly focuses on how to visualize statistics from the data quickly.

创建者 Shuwen Y

Jun 10, 2016

great course but wish to have more materials or explanation on svd and PCA part.

创建者 KAMAL D

May 31, 2021

Only the 3rd week was confusing but the confusion was revoked by swirl package

创建者 Philip W

Mar 21, 2017

Would have needed a litle more in depth explanation of the clustering analysis

创建者 Subramanya N

Dec 12, 2017

ggplot should have been given more emphasis. It warrants a course on its own!

创建者 Greg R

May 30, 2016

Pretty good course. Nice content. Middle section on clustering felt random.

创建者 Pavel B

Feb 18, 2016

I like the course and it was helpful in understanding how graphics work in R.

创建者 RobinGeurts

Feb 21, 2019

End assignement was relatively easy compared to the examples in the lectures

创建者 Mario P

Sep 17, 2018

Good beginners course with helpful tools to take a first glance to your data

创建者 Polina

Apr 25, 2018

Nice course, very useful. I wish the links were updated more often, however.

创建者 Jan W v d L

Feb 14, 2021

Learned a lot, the cluster and kmeans could have been more explained though

创建者 Gao Q

Jul 23, 2018

Great content for beginners to get familiar with various graphic tools in R

创建者 Mario P

Jan 20, 2018

I suggest to shift a little more the focus on svd and clustering techniques

创建者 Olga H

Sep 22, 2017

Good course, would have likes more practice & testing on the clustering stu

创建者 Andrew W

Mar 19, 2018

Challenging but great fun and really helped me to get more familiar with R

创建者 Carlos L

Jun 21, 2016

swirl is very used in this course. It is one of the best tools to learn R