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

4.7
stars
6,068 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.

YF

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!

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751 - 775 of 860 Reviews for Exploratory Data Analysis

By Saad U R

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Sep 26, 2021

nice but requires bit more demonstration

By Yash A G

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Apr 6, 2020

Clustering Should be explained in detail

By Kai C Y

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May 25, 2016

More real data example is even better!!!

By Venkata S

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May 26, 2020

Good Course to understand Data Analysis

By Kathy K

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Dec 10, 2016

good overview of how to make graphs!

By Snehangshu R

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Nov 12, 2021

More lecture on ggplot is required.

By Saruul A

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Dec 23, 2017

good for building basic foundation

By Jeffrey H

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Oct 2, 2020

Sum issues with SWIRL package

By Aditya G

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Dec 14, 2016

Assignments were really good!

By Andres M

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Feb 18, 2016

The need update the homeworks

By Mehul P

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Sep 11, 2017

Nice one to understand EDA.

By Fernando M

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Sep 4, 2017

Nice examples and material

By Mhd A A S

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May 16, 2020

My favorite course so far

By ayush j

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Apr 19, 2018

very good to understand .

By BIBHUTI B P

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May 30, 2017

Good analysis study case.

By Carlos A C Z

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Feb 12, 2018

ok, but could be better

By Praveen K B

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Sep 14, 2017

Good One to start with

By Stephen G

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Sep 22, 2016

Overall a good course!

By Divyam M

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Jun 12, 2020

assignments were good

By Soma S K

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Sep 29, 2018

Good Place to learn

By Liang Y

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Oct 28, 2016

Like the clustering

By Ali S A

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Oct 3, 2022

complete overview

By Daniel R

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Mar 2, 2016

Really Enjoyable!

By sourabh c

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Oct 18, 2020

Very good course

By Abdou K

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Jul 2, 2020

Very good course