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

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.

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.

Filter by:

301 - 325 of 864 Reviews for Exploratory Data Analysis

By Mohankumar S

•

Apr 10, 2017

Help to Better understanding of R-programming graphical

By PABLO M

•

Mar 6, 2017

Excellent Course, really enjoyed it and learnt a lot!!!

By Kevin Z

•

Oct 23, 2016

It's extremely useful to learn how to make plot using R

By Benjamin S

•

Mar 28, 2016

Love it, very helpful course for graphs and clustering!

By Fangfang W

•

Feb 29, 2016

This course is definitely helpful in data manipulation.

By Gregorio J D H

•

Aug 24, 2022

Escelente curso, aprendi mucho y entendi muchas cosas.

By Trevor G

•

Nov 8, 2019

Great course for learning the plotting mechanisms of R

By Amrita K

•

Jun 30, 2020

Enjoyed completing it ! Very nice course to learn EDA

By Na K L

•

Dec 5, 2016

Engaging main instructor and structured lecture notes

By Deleted A

•

Dec 3, 2016

Excellent review of various visualization techniques.

By KK Y

•

Feb 12, 2016

Extremely practical, yet challenging for a R starter.

By Robin A

•

Oct 30, 2019

It was indeed a nice learning through out the course

By William B B

•

Jun 12, 2019

Excellent course and applicable in my work right now

By TAE W O

•

Apr 6, 2019

It was a good and a useful lecture for R beginner !

By Jay S

•

Jun 17, 2016

The course projects are interesting and challenging!

By Crystal Z

•

Apr 2, 2019

Fun, and I enjoyed what I learned, which was a lot.

By Bivas M

•

Apr 21, 2018

Great course. Most helpful was the swirl exercises.

By Samir Y

•

Feb 25, 2016

Very good course for doing practical data analysis.

By Doris M

•

Dec 7, 2020

Well taught and comprehensive. Exercises are great

By Massimo M

•

Aug 28, 2017

Great course, very useful exercise and case study.

By Ivan G

•

Nov 15, 2016

Fun and good approach on exploratory data analysis

By Katarzyna P

•

Jan 14, 2016

Very helpful and great lectures!

best regards,

Kasia

By Allyson D d L

•

Dec 4, 2021

Good course, very extensive with swirl exercises.

By Nurul H A

•

Aug 10, 2020

learn a lot on various technique to explore data