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

4.7
stars
6,051 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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226 - 250 of 856 Reviews for Exploratory Data Analysis

By Ranjith C K

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May 1, 2017

good course with example and assignment, we get the real feel of doing things.

By Alberto T

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Jun 15, 2016

Excellent course. Nice lectures to guide to graphics use in data presentation.

By Hathairat W

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Feb 9, 2019

The course is definitely useful for my job. I learned new skills and had fun!

By Vitalii S

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Jul 20, 2017

I am using exploratory data analysis almost every time when loading raw data.

By Dan K H

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Mar 28, 2016

Excellent course, Rogers enthusiasm shows truly through to his speed-talk :-)

By Yadder A

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Nov 12, 2017

I enjoy a lot this course, but I was waiting for more assignments with plots

By Luong M Q

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Mar 20, 2017

Very fruitful course on how to approach issues and use plots to deal with it

By Sachin R

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Dec 19, 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

By Lee Y L R

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Jan 5, 2018

A very good and concise course, with useful tools to explore data visually!

By Venkatesh

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Jul 1, 2017

Very interesting way of representing data in pictorial form using R as tool

By Destin R (

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Jul 5, 2023

Great course! Significantly better structured than the RProgramming Course

By Sandra G

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Aug 1, 2018

Great course, I have improved my skill plotting in R and organizing files.

By SATHYANARAYANAN S

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Sep 10, 2017

Very good for anyone wanting to get into the field of Data Science using R

By Jordi A C

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Jan 24, 2017

Very interesting course on plotting with R and much more! I've enjoyed it.

By Nils N

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Sep 26, 2016

If you get data, take this course! You will love the course and your data!

By samuel c j

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Jul 18, 2020

La información que se vio en el curso es relevante y está bien explicada.

By Stefan P L

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Feb 9, 2018

Overall good course! Though I hope there is more exercise in SVD/PCA part

By Ahmed M S K

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Jan 8, 2017

What a wonderful course to undertake. On my way to take all 10 courses :D

By Damian S

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Oct 26, 2021

Very nice course with interesting case examples. I recommend this course

By Thiago Y

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Nov 7, 2020

Excelente, here i learned how explore and extract insights from my data.

By Diana S

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Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

By manuel s g

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Apr 24, 2020

Very useful course conceptually as well as with excercises and projects

By Laura B

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Jul 7, 2017

Good info. But I would like to have reminder emails for the due dates.

By Erika G

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Feb 6, 2016

I learned a lot and the assignments were the right kind of challenging.

By NEVIN T K

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Jun 25, 2020

Great course! The swirl courses in particular helped me to learn more