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

4.7
stars
5,854 ratings
848 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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701 - 725 of 818 Reviews for Exploratory Data Analysis

By Paul M

Jun 2, 2016

Very good introduction to the various graphing systems.

By Dai Y

Aug 9, 2018

Improvement should be done to the materials of Week 3.

By Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

By jishuenkam

Aug 27, 2016

Hopefully it could be clearer on dimension reduction.

By Murugesan A

Mar 22, 2017

Well crafted, carefully designed learning materials!

By Daniiar B

Sep 10, 2018

NIce course, but the lectures are a little tedious

By Alan C

Dec 15, 2019

Decent overview of the graphing fundamentals in R

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 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 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