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

4.7
stars
5,937 ratings
870 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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726 - 750 of 839 Reviews for Exploratory Data Analysis

By Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

By Mohammad F H

Sep 15, 2016

Very detailed. Like the case study by Dr. Peng.

By Nilrey J D C

Oct 7, 2019

This is a good introduction to do EDA using R.

By Ratnikov Y

May 27, 2017

Clustering is overwhelming field of knowledge.

By LIWANGZHI

Sep 20, 2018

More instructions on SVD/PCA would be welcome

By Christoph G

Jun 12, 2016

A nice coursera, but I was a bit lost SVD.

By Freddy M C F

Jun 29, 2017

Very good Introductory Course. Thank you!

By Saad U R

Sep 26, 2021

nice but requires bit more demonstration

By Yash A G

Apr 6, 2020

Clustering Should be explained in detail

By Kai C Y

May 25, 2016

More real data example is even better!!!

By Venkata S

May 26, 2020

Good Course to understand Data Analysis

By Kathy K

Dec 10, 2016

good overview of how to make graphs!

By Snehangshu R

Nov 12, 2021

More lecture on ggplot is required.

By Saruul A

Dec 23, 2017

good for building basic foundation

By Jeffrey H

Oct 2, 2020

Sum issues with SWIRL package

By Aditya G

Dec 14, 2016

Assignments were really good!

By Andres M

Feb 18, 2016

The need update the homeworks

By Mehul P

Sep 12, 2017

Nice one to understand EDA.

By Fernando M

Sep 4, 2017

Nice examples and material

By Mhd A A S

May 16, 2020

My favorite course so far

By ayush j

Apr 19, 2018

very good to understand .

By BIBHUTI B P

May 30, 2017

Good analysis study case.

By Carlos A C Z

Feb 12, 2018

ok, but could be better

By Praveen K B

Sep 14, 2017

Good One to start with

By Stephen G

Sep 22, 2016

Overall a good course!