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


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!


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.

Filter by:

601 - 625 of 848 Reviews for Exploratory Data Analysis

By Sameeksha

May 12, 2021

By Souvik P

Aug 5, 2020

By Pitak P

Oct 4, 2019

By Razib A K

Dec 18, 2018

By Ganapathi N K

Apr 30, 2018

By Jay B

Aug 15, 2017

By Saurabh G

Apr 13, 2017

By Larry G

Feb 7, 2017

By 刘治

Jul 17, 2016

By Prakash M S G C

May 24, 2016

By 朱荣荣

Mar 9, 2016

By 丁雪松

Jun 15, 2020

By Amit K R

Nov 21, 2017

By Meidani P

Dec 3, 2021

By Ganesh P

Nov 28, 2017

By Wei W

Sep 11, 2017

By Balinda S

Dec 11, 2016

By Phillip K

Mar 20, 2018

By Ruggero B

Feb 29, 2016

By Jamison C

Jul 4, 2018

By Miguel C

Apr 15, 2020

By Julien N

Jul 13, 2018

By Ricardo M

Nov 20, 2017

By Chuxing C

Dec 3, 2015

By Joseph F

Jan 3, 2021