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

4.7
stars
5,736 ratings
829 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.

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251 - 275 of 799 Reviews for Exploratory Data Analysis

By Shashikesh M

Jun 14, 2017

This course is most recommended for Data science practitioner.

By Qasim Z

Oct 26, 2016

Wonderful primer on how to get thinking creatively about data.

By Dennis A

Oct 10, 2016

There is a lot you can learn during this course, I enjoyed it!

By Emanuele M

Mar 8, 2016

Very important course towards th specialization and well done!

By Robert M

Sep 2, 2020

I loved the explanations and the swirl course. It was amazing

By Philippine R

May 22, 2017

This was a really useful module. I keep referring back to it.

By Carl W

Jun 26, 2018

Feels like things are starting to come together. Good class.

By 吴昊

Apr 29, 2018

Very good course. I learn how to do the exploratory analysis

By Rodrigo R

Mar 29, 2016

Very good course! It's the hardest yet on the Specalization

By Lalita M M

Jul 26, 2019

Good Course with proper explanations and lot of practices.

By Himanshu R

Nov 30, 2017

A good, informative course, thanks a lot for the teaching.

By Fernando R A

Oct 23, 2017

Great ideas around exploring data quickly and efficiently!

By Luiz C

Sep 17, 2017

The graph tools presented in this course are very powerful

By Iphigenia-Danae K

Jan 29, 2017

Awesome course, with a very detailed step by step approach

By Jorge L P d l T

Jun 2, 2020

Was hard for me, but it was very instructive Thank you !!

By Amy B P

Jun 18, 2019

Very well formed course. Enjoyed the course and projects.

By Alzum S M

Jul 6, 2018

It's a great course. Thanks to mentors for their efforts.

By Nitika S

Jul 11, 2017

Very good material and structure of course! Thanks a lot.

By Thomas G

Aug 19, 2016

very handy and saves a lot of time for making plot with R

By Christopher G

Aug 16, 2016

Very interesting content- going to be useful in my career

By Jeronimo B d C J

Apr 26, 2016

Very well explained and didatical! Thanks for the course!

By Neha P

Feb 19, 2020

Good Course I learn all good concepts Thank you R.D.Peng

By pranshu s

Nov 19, 2017

This course along with swirl exercise is really helpful.

By Jonathan S

Oct 11, 2016

Great Course, Swirl is really where the value comes from

By Light0617

Aug 7, 2016

It is powerful and useful, In particularly for students!