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

4,992 notes
709 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


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.


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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301 - 325 sur 682 Examens pour Exploration analytique de données

par Na K L

Dec 05, 2016

Engaging main instructor and structured lecture notes

par Chris B

Jan 12, 2017

I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.


Oct 05, 2017

Very insightful course!!!

The swirl packages and course projects in "Exploratory Data Analysis" course have really helped me to understand the power of R in performing introductory graphical analyses towards initial inferences. It has good hands-on exercises to really put to action various sophisticated graphs and plots for boardroom conversations on how to go deeper into the data analysis in order to find meaningful business insights or build powerful predictive models. As I advance through the specialization, I am getting to realize how powerful Statistical Learning through R is for quick business action and automation.

par Pratik P

Feb 02, 2017

Useful :D

par Saravanan

Mar 02, 2017

useful course for me . thanks to my tutor

par Eric T

Apr 24, 2017

Very helpful class.

par Philippine R

May 22, 2017

This was a really useful module. I keep referring back to it.

par Arnaud A

Mar 24, 2018

Clear, demanding, and sharp !

par Bharadwaj D

Jan 28, 2017

It was an amazing ride

par Kevin Z

Oct 23, 2016

It's extremely useful to learn how to make plot using R

par saroj r

May 14, 2016

i like it

par Abhishek B

Dec 21, 2017

Great work on graphing & charting


Nov 01, 2016

Great course

par Amanuel G

Jan 06, 2017

It was a wonderful experience to read the structure of data before delving into the advanced statistical levels of data analysis.The need for inclusion or exclusion of dependent variables or dimension reduction in regression analysis can be intuitively understood and visualized using Data Exploratory techniques and then we have the clue as what to do in the next level.It is like putting the whole characteristic of the data under full control.

par Albert C G

Sep 02, 2016

Great Course

par Wayne H

Mar 03, 2017

Good introduction to graphics systems and principles. Practical exercises are well conceived.

par 刘博

Feb 03, 2017

good course!

par Jordi A C

Jan 24, 2017

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

par Ismelda M

Feb 07, 2017

Excellent course

par 邱培培

Dec 24, 2016

This course is very helpful. Thanks for the teachers of this course.

par Zhang M

Apr 25, 2017

Very helpful!

par Saurabh G

Apr 14, 2017


par Guillermo S R P

Sep 07, 2017


par James A

Nov 28, 2016

Very excellent course structure. Gives you all the bases you need to get you started in exploring your data.

par Christopher B

Jan 03, 2017

A nice overview of data exploration techniques.