Chevron Left
Back to Exploratory Data Analysis

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

4.7
stars
6,085 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

CB

Jan 11, 2017

I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.

CB

Dec 10, 2016

The course is interesting and the content is relevant. I do think that there are some issues with project 2 though. I did provide feedback on that to the course administrators.

Filter by:

601 - 625 of 864 Reviews for Exploratory Data Analysis

By Kathleen

•

Apr 19, 2018

Great!

By Xiao W

•

Oct 27, 2016

Thanks

By BELMOUIDI M

•

Oct 31, 2024

great

By Medha B

•

Oct 9, 2020

Great

By Robert J C

•

Jul 25, 2019

Good.

By Adán H

•

Oct 5, 2017

Good!

By Rafael L G

•

Jun 6, 2017

great

By zhao m

•

Nov 1, 2016

good.

By Marco A P N

•

Jun 1, 2016

Great

By Yusuf S

•

May 19, 2016

great

By Michelle W S

•

May 16, 2025

good

By Soham G K

•

Apr 18, 2025

good

By Sameeksha

•

May 12, 2021

good

By Souvik P

•

Aug 5, 2020

good

By Pitak P

•

Oct 4, 2019

Good

By Razib A K

•

Dec 18, 2018

good

By Ganapathi N K

•

Apr 30, 2018

Nice

By Jay B

•

Aug 15, 2017

good

By Saurabh G

•

Apr 13, 2017

nice

By Larry G

•

Feb 7, 2017

Nice

By 刘治

•

Jul 17, 2016

good

By Prakash G C

•

May 24, 2016

Good

By 朱荣荣

•

Mar 9, 2016

good

By 丁雪松

•

Jun 15, 2020

💯

By Amit K R

•

Nov 21, 2017

ok