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

4.7
stars
6,086 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

LS

Oct 31, 2019

Good introduction. The swirl exercises kind of reproduce the lectures though- felt like it might not have been the most efficient use of time to go over the exact same example again.

MA

Jul 3, 2018

Excellent explanation and adding very good skills on the way of data science specialization.For some slides they should be updated to have working URLs , some seems old and absolute now

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601 - 625 of 864 Reviews for Exploratory Data Analysis

By Kathleen

•

Apr 19, 2018

Great!

By Xiao W

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Oct 26, 2016

Thanks

By BELMOUIDI M

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Oct 31, 2024

great

By Medha B

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Oct 9, 2020

Great

By Robert J C

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Jul 25, 2019

Good.

By Adán H

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Oct 5, 2017

Good!

By Rafael L G

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Jun 6, 2017

great

By zhao m

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Oct 31, 2016

good.

By Marco A P N

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Jun 1, 2016

Great

By Yusuf S

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May 19, 2016

great

By Michelle W S

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May 16, 2025

good

By Soham G K

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Apr 18, 2025

good

By Sameeksha

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May 11, 2021

good

By Souvik P

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Aug 5, 2020

good

By Pitak P

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Oct 4, 2019

Good

By Razib A K

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Dec 18, 2018

good

By Ganapathi N K

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Apr 30, 2018

Nice

By Jay B

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Aug 14, 2017

good

By Saurabh G

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Apr 13, 2017

nice

By Larry G

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Feb 7, 2017

Nice

By 刘治

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Jul 17, 2016

good

By Prakash G C

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May 24, 2016

Good

By 朱荣荣

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Mar 9, 2016

good

By 丁雪松

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Jun 15, 2020

💯

By Amit K R

•

Nov 20, 2017

ok