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Exploratory Data Analysis, Johns Hopkins University

4,236 ratings
616 reviews

About this 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


Jul 29, 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.

By Y

Sep 24, 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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588 Reviews

By Charbel Lahoud

Jan 19, 2019

Excellent course. Love the case studies


Jan 16, 2019

really interesting

By Bruno Rafael de Carvalho Santos

Jan 14, 2019

An excellent introduction to R' basic processing and graphing functionalities.

By Rodolfo Rojas

Jan 09, 2019

great course

By Francisco Miguel Rivas Ortega

Jan 08, 2019

The third and fourth week were a big leap in knowledge and not really well explained, for me.

By anand

Dec 30, 2018

Good course

By Yoselin Arvelaiz

Dec 19, 2018

Excellent course!

By Razib Ahamed Khan

Dec 18, 2018


By 王昊辰

Dec 12, 2018

The data used for training are too big to be processed on my computer....

It is a real burden for my laptop when I use Rstudio to view some big files.....

By Jessica Roland

Dec 02, 2018

Very useful course