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Learner Reviews & Feedback for Exploratory Data Analysis by Johns Hopkins University

5,815 ratings
842 reviews

About the Course

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....

Top reviews

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.

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!

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726 - 750 of 811 Reviews for Exploratory Data Analysis

By Liang Y

Oct 28, 2016

Like the clustering

By Daniel R

Mar 2, 2016

Really Enjoyable!

By sourabh c

Oct 18, 2020

Very good course

By Abdou k a

Jul 2, 2020

Very good course

By K A K

Jun 2, 2020

A useful course

By Irenee V I

Sep 18, 2020

Great course!

By Filipe R

Jul 17, 2017

Good material

By Jayesh s

May 18, 2020

Little tough

By Sabawoon S

Jul 4, 2017

Very helpful

By Sunil J

Nov 27, 2016

Great course

By anand

Dec 30, 2018

Good course

By Praveen k

Oct 2, 2018

Nice course

By Divvya.T

Oct 29, 2017

good course

By Abhishek S

May 30, 2017

good course

By Ussama N

May 20, 2017

Good course

By 贝叶斯统计

May 23, 2016


By Colin Q

Jun 1, 2017

very good!

By Jeremy O

Mar 9, 2017


By Timothy V B

Dec 29, 2016

good intro

By Johnnery A

Nov 17, 2019


By Khobindra N C

May 18, 2016


By Rohit K S

Sep 20, 2020


By Tae J Y

Mar 31, 2017


By Edward A S M

Dec 4, 2019


By 木槿

Nov 2, 2018