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

4.7
stars
6,052 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

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!

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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676 - 700 of 856 Reviews for Exploratory Data Analysis

By Piyush D

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May 15, 2019

Awesome course ! It reaches you the crux of exploration of data . Although the SVD section could have been more thorough and detailed.

By Marc T

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Mar 31, 2019

Great introduction! I am eagerly awaiting the opportunity to apply clustering and dimension reduction on real data in future courses.

By Andres U

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Feb 21, 2017

Really helpful. I really enjoyed getting familiar with plotting systems and also increasing my abilities dealing with data frames

By Tony W

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Jun 21, 2016

Very interesting and insightful course. I enjoyed it.

Assignment was okay, could have provided more challenge and depth though.

By Nils M

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Oct 27, 2016

Very good course. I liked the clustering examples. They were a little bit detached from the rest, but they were also great.

By Christopher L

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Jul 23, 2017

great intro to the plotting system. could be better with a dimension reduction assignment or quiz. this is very important!

By Luiz E B J

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Oct 3, 2019

I would rate 5 if the course wasn´t so focused on graphic analysis. But, even Like that it´s a very good experience.

By David B

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May 25, 2017

It was a lot of material in a short time frame, but I feel like I really have a good grasp of creating graphs in R.

By Olav N

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Jun 22, 2020

A very well organized course with video lessons that inspire to further exploration of the data analysis topic.

By Jean-Philippe M

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Jun 15, 2019

More practical exercises using ggplot2 and clustering would be beneficial. Maybe need to be a 8 weeks module.

By Saurabh M

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Jul 30, 2017

Quantitatively assignments were less with no assignment for Week 3, however, the swirl exercises were good

By Anang S A

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Jul 15, 2019

this course is more about creating chart for EDA, need more material for reading/interpreting the charts

By Ankush K

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Jun 15, 2017

Useful for learning how to make plots, but not too detailed. Further analysis would have been helpful.

By Marcela Q

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Nov 26, 2019

Really good if you do not have any background in the field. But even if you do it is a great review

By Joe D

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May 19, 2019

Some of the links in the lectures are out of date, the forums usually have an updated link though.

By Lindy W

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Nov 24, 2016

Interesting learning more about ggplot and base plotting system, as well as clustering techniques.

By SUDIPTO M

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Oct 26, 2017

Thjis one of the best courses gives a great idea about plotting and exploratory data analysis !

By Kajal S

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Oct 3, 2019

Exploratory data analysis is a very important skill and it is a very good course to learn it.

By Eric J S

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May 29, 2019

Best of your courses yet. Doesn't suffer from difficulty spikes when you hit the projects.

By Gerardo M F G

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Nov 15, 2020

PCA and SVD are not included in any assignment, it will be great if they are in the future

By Huang-Hsiang C

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Jun 9, 2020

Plotting is very usefulIt would be great to have a step by step breakdown of PCA and SVD.

By Mark F

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Jul 5, 2017

SVD could be explained a little better i think. I am still not exactly sure how it works.

By Irmgard T

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Jul 23, 2017

great course...though I would have preferred less focus on cluster and k means analysis.

By Manuel M M

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Sep 27, 2019

It is a good course but in my opinion it is basically support with the R swirl() guide

By Ross D

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Sep 4, 2019

Was a little perplexed that we did not address clustering at all in the assignments.