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Avis et commentaires pour l'étudiant pour Exploration analytique de données par Université Johns-Hopkins

4,940 notes
703 avis

À propos du cours

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....

Meilleurs avis


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!


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.

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201 - 225 sur 675 Examens pour Exploration analytique de données

par Sinan J H

Feb 22, 2016


par Emanuele M

Mar 08, 2016

Very important course towards th specialization and well done!

par Mehrdad T

Sep 09, 2017

EDA is essential part of data analysis and in this course the concept is well covered especially through the assignements.

par Caroline S

Jun 14, 2017

Nice to know more about the graphing systems.

par Gabriella J

Feb 26, 2017

Great course! It have been very useful for my job as data scientist! Thank u very much!

par Samuel C

Feb 02, 2016

Very good course. Clear instructions.

par Rajlakshmi P

Apr 23, 2017

Excellent course, extremely practical and useful

par Piotr K

Oct 23, 2016

Material teached in this course is must have for everybody who wants to use R for Data Science. Exploratory Data Analysis is one of first steps in every project.

par Xiao W

Oct 27, 2016


par Alessandro S

Nov 23, 2017

Este é um ótimo curso, com referencias muito boas e o Swirl ajuda muito a treinar os conceitos.

par Yudhanjaya W

Jun 06, 2017

This was incredibly useful because it gives you a feel for the datasets and tools with which to explore them. I really wasn't aware of the base and lattice plotting systems until now.

par Steve C

May 16, 2016

Great course!

par Selcuk F

Apr 12, 2016

Great course, lots of good things to explore!

par Marcelo G M

Feb 28, 2016

Very good

par Yi-Yang L

Mar 17, 2017

Favorite course until now in this track. The visualization is very helpful for both academics and career.

par Mohankumar S

Apr 10, 2017

Help to Better understanding of R-programming graphical

par Jaganath B

Nov 05, 2017

Recommended course for Beginners!!!!!

par Ricardo R

Oct 24, 2016

Excelent course! Very direct and informative, leaving many doors open to individual quests.

par Dan K H

Mar 28, 2016

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

par Rodrigo R

Mar 30, 2016

Very good course! It's the hardest yet on the Specalization

par xun y

Aug 17, 2017

The plotting system in R chapter is very useful.

par Roman O B

Sep 10, 2017

Great overview on explonatory data analysis and preparing graphs in R. I could apply the now knowledge directly to my current work.

par Araks S

Jun 20, 2017

Great course, an excellent instructor who makes the videos easy to watch and listen.

Assignments were very important to me, as I learned a lot while doing it.

par Cristóbal A

May 17, 2016

Material de muy buena calidad y a pesar que en ocasiones solo cumple un rol introductorio, el curso no deja de lograr con una simpleza reveladora la construcción de una base solida que luego sirve para profundizar en las herramientas presentadas.

Recomendado 100% y acorde a lo que propone.

par Clare S

Mar 21, 2016

Really nice course. Good to put the graphics functions in R to use. I think it would be helpful to have a summary page somewhere that compares the format of how to generate simple plots using each of the 3 packages - just for reference.