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

4.7
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

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!

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.

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126 - 150 sur 682 Examens pour Exploration analytique de données

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 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 FARZAD R

May 30, 2017

Very useful and excellent course

par Tina H

Jan 22, 2018

It was very useful!

par Fangfang W

Mar 01, 2016

This course is definitely helpful in data manipulation.

par Nikodem L

Feb 09, 2016

This has been a great course. Accompanies by a book, it constitutes a great piece of material about exploring and visualizing data.

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 Jean M

Mar 21, 2016

Excellent

par Frank S

Dec 05, 2017

Well organized contents and great instructors.

par Katarzyna P

Jan 14, 2016

Very helpful and great lectures!

best regards,

Kasia

par Pratyush D

Feb 16, 2016

Very good course. Explains some very peculiar concepts of PCA and SVD very clearly.

par Craig S

Oct 29, 2017

Great! Really useful course!

par SATHYANARAYANAN S

Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

par Melissa H

Mar 07, 2016

Kick-started me into using graphs in R!

par Sylvio C N

Oct 03, 2016

Great course

par Jonathan S

Oct 11, 2016

Great Course, Swirl is really where the value comes from

par Tad S

Feb 01, 2016

If you know some R programming and want to learn how to generate plots for your data analysis, this course will give you a good start. I highly suggest doing swirl exercises after watching the lecture videos to reinforce your understanding of the course materials.

par David J G

Feb 03, 2016

I think this is a great course. I learned a lot about data plotting and some multivariate techniques for understanding underlaying patterns of the data.

par Nikolai K

Nov 06, 2017

It helped me a lot!

par Tan W M

Jun 21, 2016

Good hand-on class

par Jay S

Jun 17, 2016

The course projects are interesting and challenging!

par Gioachino B

Jan 03, 2017

Excellent training! Lectures are easy to understand and let you focus on the subject.

par Camilo A A

Mar 01, 2017

Excellent course!