Chevron Left
Back to Exploratory Data Analysis

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

4.7
stars
5,922 ratings
865 reviews

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

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!

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.

Filter by:

826 - 834 of 834 Reviews for Exploratory Data Analysis

By Desmond W

Oct 19, 2016

About plotting in R. Not about generating real insights from EDA.

By Esther L

Aug 22, 2019

Too weak regarding the clustering methods, very disappointed.

By ewa b

May 31, 2017

didnt get much useful-- a whole "course" on plotting? meh.

By Vineet P

Jun 2, 2020

Not upto expectations

By Michal K

May 10, 2016

too superficial

By Piyush V

Jun 21, 2016

Veyr boring

By Christy P

Aug 24, 2017

How can you have a course on Graphic Devices and not show one screen shot of a graphic or open R to show how to perform the ideas around this topic?

By Nicholas

Sep 30, 2016

NEEEEEED TO EDIT MY PEER REVIEW FROM OTHERS

By Carsten J

Mar 1, 2016

Material is to basic for an entire course.