Chevron Left
Retour à Exploration analytique de données

Avis et commentaires pour d'étudiants pour Exploration analytique de données par Université Johns-Hopkins

5,691 évaluations
822 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.

Filtrer par :

251 - 275 sur 792 Avis pour Exploration analytique de données

par carl w

Jun 26, 2018

Feels like things are starting to come together. Good class.

par 吴昊

Apr 29, 2018

Very good course. I learn how to do the exploratory analysis

par Rodrigo R

Mar 30, 2016

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

par Lalita M M

Jul 26, 2019

Good Course with proper explanations and lot of practices.

par Himanshu R

Nov 30, 2017

A good, informative course, thanks a lot for the teaching.

par Fernando R A

Oct 23, 2017

Great ideas around exploring data quickly and efficiently!

par Luiz C

Sep 17, 2017

The graph tools presented in this course are very powerful

par Iphigenia-Danae K

Jan 30, 2017

Awesome course, with a very detailed step by step approach

par Jorge L P d l T

Jun 02, 2020

Was hard for me, but it was very instructive Thank you !!

par Amy B P

Jun 18, 2019

Very well formed course. Enjoyed the course and projects.

par Alzum S M

Jul 06, 2018

It's a great course. Thanks to mentors for their efforts.

par Nitika S

Jul 11, 2017

Very good material and structure of course! Thanks a lot.

par Thomas G

Aug 19, 2016

very handy and saves a lot of time for making plot with R

par Christopher G

Aug 17, 2016

Very interesting content- going to be useful in my career

par Jeronimo B d C J

Apr 27, 2016

Very well explained and didatical! Thanks for the course!

par Neha P

Feb 19, 2020

Good Course I learn all good concepts Thank you R.D.Peng

par pranshu s

Nov 19, 2017

This course along with swirl exercise is really helpful.

par Jonathan S

Oct 11, 2016

Great Course, Swirl is really where the value comes from

par Light0617

Aug 07, 2016

It is powerful and useful, In particularly for students!

par Zhao Z

Jul 09, 2020

I really learnt a lot from this course on the plotting.

par César A

Jun 10, 2020

Very Nice methodology, I enjoyed learns in this program

par Ratanaporn

Oct 03, 2019

I am pleased with the success. In completing the course

par Vinicio D S

Dec 19, 2017

For plotting methods, one of the best courses out there

par Mohankumar S

Apr 10, 2017

Help to Better understanding of R-programming graphical

par Pablo M

Mar 07, 2017

Excellent Course, really enjoyed it and learnt a lot!!!