Chevron Left
Back to Exploratory Data Analysis

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

5,990 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:

51 - 75 of 849 Reviews for Exploratory Data Analysis

By Nicholas A

Oct 3, 2017

By Keith H

Jun 9, 2020

By Hesham S S E

Jul 29, 2020

By John R T

Jun 8, 2020

By Sajal J

Aug 12, 2020

By Rodney J

Jun 17, 2017

By Adi T

Jan 21, 2017

By Dev P

Jan 5, 2020

By John B

Sep 22, 2018

By Omar

Dec 14, 2016

By Rosa C V

Feb 3, 2020

By Lloyd N

Dec 20, 2016


Mar 10, 2018

By Garrett F

May 22, 2020

By Varun B

Mar 22, 2018

By Runhao Z

Oct 16, 2017

By Rouholamin R

Feb 16, 2019

By James W

Sep 7, 2016

By Juan P L R

Sep 6, 2020

By Yang F (

Sep 24, 2017

By Craig

Jul 29, 2016

By Felix E

Jul 29, 2019

By Imran A

Jan 18, 2016

By André V d C

Feb 1, 2016

By Luis T

Jul 17, 2022