Chevron Left
Back to Exploratory Data Analysis

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

5,989 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


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!

Filter by:

776 - 800 of 848 Reviews for Exploratory Data Analysis

By 贝叶斯统计

May 23, 2016

By Colin Q

Jun 1, 2017

By Jeremy O

Mar 9, 2017

By Tim B

Dec 29, 2016

By mounika n

Sep 18, 2022

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 5, 2019

By 木槿

Nov 2, 2018

By Anup K M

Sep 27, 2018

By Isaac F V N

Apr 18, 2017

By Chan E

Mar 22, 2016

By Adur P

Dec 28, 2017

By Saurabh K

Apr 27, 2017

By deepak r

Oct 2, 2016

By Jose O

Feb 11, 2016

By Ahmed M

Aug 24, 2016

By Andrew V

Jun 10, 2016

By Mohammad A A

Mar 11, 2019

By Arne S

Aug 31, 2019

By Haggai Z

Aug 27, 2017

By Thomas G

Apr 26, 2016

By Ray O C

Dec 29, 2016