Chevron Left
Back to Exploratory Data Analysis

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

4.7
stars
6,008 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.

Y

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:

126 - 150 of 851 Reviews for Exploratory Data Analysis

By Gaurav B

Sep 16, 2018

By Mehrdad T

Sep 9, 2017

By Alexander D

Nov 4, 2019

By Sherrod B

Aug 11, 2017

By Herson P C d M

Jan 4, 2017

By Amanyiraho R

Jan 13, 2020

By Erdem Y

Jun 13, 2017

By James E H J

Jan 30, 2019

By Avinash A

Aug 30, 2017

By Huynh L D

May 18, 2016

By Anthony S

Feb 14, 2017

By William G C

Jan 20, 2017

By Yergali B

Mar 16, 2016

By Emmet C

Jan 9, 2017

By José G Z r

Oct 23, 2016

By Mauricio C

Jan 27, 2018

By Jorge B

Feb 13, 2017

By Dhananjay M

Apr 30, 2017

By James A

May 4, 2020

By Ishwarya M

Jul 22, 2019

By Nathan H

Oct 8, 2018

By Andrew M T

Nov 12, 2017

By Youcef M

Aug 9, 2021

By ooi s m

Jun 10, 2017

By Dimitrios G

Mar 21, 2017