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

4.7
stars
6,052 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

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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576 - 600 of 856 Reviews for Exploratory Data Analysis

By Wassim K

May 24, 2017

very nice

By Mingming Q

Feb 23, 2017

very good

By Pratik P

Feb 2, 2017

Useful :D

By Mauricio C

Nov 19, 2016

Fenomenal

By Satya N C

Sep 16, 2016

Excellent

By saroj r

May 13, 2016

i like it

By Jean M

Mar 21, 2016

Excellent

By Marcelo G M

Feb 28, 2016

Very good

By Rahul P

Jan 3, 2020

Awesome!

By Aman U

Jan 30, 2019

Fabulous

By Fernando A F B

Jan 18, 2017

awesome!

By Mengyin B

Sep 7, 2016

helpful.

By Longrio P

Aug 20, 2018

Da best

By 陈颐欢

Apr 22, 2018

非常好的课程!

By Roland P

Nov 25, 2017

Superb!

By Mohamed A

Sep 18, 2017

Perfect

By Jhon A M L

Oct 19, 2016

Great!!

By Nestor S

May 18, 2016

dplyr !

By Sinan J H

Feb 22, 2016

perfect

By Vivek R

Feb 7, 2016

So nice

By Kazi S S I

Oct 15, 2021

Thanks

By Olawunmi G

Apr 24, 2018

Great!

By Kathleen

Apr 19, 2018

Great!

By Xiao W

Oct 27, 2016

Thanks

By Medha B

Oct 9, 2020

Great