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

4.7
4,950 notes
704 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

CC

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.

Y

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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326 - 350 sur 676 Examens pour Exploration analytique de données

par 朱荣荣

Mar 09, 2016

good

par Paul A

May 23, 2016

Excellent course. Very accessible yet an extensive overview of techniques in exploratory data analysis.

par Ahmed M K

Jan 08, 2017

What a wonderful course to undertake. On my way to take all 10 courses :D

par Lee Y L R

Jan 05, 2018

A very good and concise course, with useful tools to explore data visually!

par rishav j

Oct 06, 2016

Well structured and very informative

par BOUZENNOUNE Z E

Mar 10, 2018

That's a wonderful course, especially if you take it with the specialization, and also better if used with the recommended books. I highly recommend, but once you finish it, you should continue to work on your own ;)

par Anirudh J

Jul 06, 2017

Dr R D Peng is clear, concise and teaches quite systematically so that data visualization and exploration is broken down into its constituent pieces and explained in a way I am yet to come across elsewhere in other MOOCs on the subject. I'm really impressed and happy to have taken up this course.

par Erdem Y

Jun 13, 2017

There should be more content devoted to SVD . more theory and quiz questions and workouts to emphasize the methodology.

par Asif M A

May 04, 2016

Its one of the most important steps in learning data science. Before even jumping into the real thing, it is worthwhile to explore a little bit the data set at hand.

par Dario O

Oct 19, 2017

Excellent course.

par Raju G

Sep 17, 2017

great course

par Herson P C d M

Jan 05, 2017

Excelente curso, requer bastante empenho, mas para quem é entusiasta do assunto como eu é um excelente ponto de partida.

par FARZAD R

May 30, 2017

Very useful and excellent course

par Tina H

Jan 22, 2018

It was very useful!

par Dennis A

Oct 10, 2016

There is a lot you can learn during this course, I enjoyed it!

par Andaru

Feb 13, 2016

basic plotting and getting the feel of data, this course really helped tackling that and seeing perspective in data analysis

par Fangfang W

Mar 01, 2016

This course is definitely helpful in data manipulation.

par Davi L C

Feb 29, 2016

Great course!

par Bill K

Feb 10, 2016

Really great class that teaches tools you can put to use right away.

par Utku K

Mar 05, 2016

Very good. I enjoyed and learned a lot.

par Jean M

Mar 21, 2016

Excellent

par Frank S

Dec 05, 2017

Well organized contents and great instructors.

par kevin c

Mar 29, 2016

This was an excellent course full of useful exercises, assignments and lectures. I took these classes for the data analysis

par Jay S

Jun 17, 2016

The course projects are interesting and challenging!

par Roel P

May 05, 2016

Great course.