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

4.7
stars
6,068 ratings

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

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.

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!

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776 - 800 of 860 Reviews for Exploratory Data Analysis

By K A K

Jun 2, 2020

A useful course

By Irenee V

Sep 18, 2020

Great course!

By Filipe R

Jul 17, 2017

Good material

By Er J S

May 18, 2020

Little tough

By Sabawoon S

Jul 4, 2017

Very helpful

By Sunil J

Nov 27, 2016

Great course

By Anand P

Dec 30, 2018

Good course

By Praveen k

Oct 2, 2018

Nice course

By Divvya T

Oct 29, 2017

good course

By Abhi S

May 30, 2017

good course

By Ussama N

May 20, 2017

Good course

By 贝叶斯统计

May 23, 2016

还不错的R语言绘图入门

By Colin Q

Jun 1, 2017

very good!

By Jeremy O

Mar 9, 2017

excellent!

By Tim B

Dec 29, 2016

good intro

By mounika n

Sep 18, 2022

its good

By Johnnery A

Nov 17, 2019

Excelente

By Khobindra N C

May 18, 2016

Excellent

By Rohit K S

Sep 20, 2020

Nice!!

By Tae J Y

Mar 31, 2017

Good!

By Edward A S M

Dec 5, 2019

Good

By 木槿

Nov 2, 2018

good

By Anup K M

Sep 27, 2018

good

By Isaac F V N

Apr 18, 2017

Nice

By Chan E

Mar 22, 2016

nice