Chevron Left
Retour à Exploration analytique de données

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

4.7
étoiles
5,095 évaluations
725 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.

Filtrer par :

601 - 625 sur 697 Avis pour Exploration analytique de données

par Daniiar B

Sep 10, 2018

NIce course, but the lectures are a little tedious

par Alan C

Dec 15, 2019

Decent overview of the graphing fundamentals in R

par Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

par Mohammad F H

Sep 15, 2016

Very detailed. Like the case study by Dr. Peng.

par Nilrey J D C

Oct 07, 2019

This is a good introduction to do EDA using R.

par Ratnikov Y

May 27, 2017

Clustering is overwhelming field of knowledge.

par LIWANGZHI

Sep 20, 2018

More instructions on SVD/PCA would be welcome

par Christoph G

Jun 12, 2016

A nice coursera, but I was a bit lost SVD.

par Freddy M C F

Jun 30, 2017

Very good Introductory Course. Thank you!

par Kai C Y

May 25, 2016

More real data example is even better!!!

par kathy k

Dec 11, 2016

good overview of how to make graphs!

par Saruul A

Dec 23, 2017

good for building basic foundation

par Aditya G

Dec 14, 2016

Assignments were really good!

par Andres M

Feb 18, 2016

The need update the homeworks

par Mehul P

Sep 12, 2017

Nice one to understand EDA.

par Fernando M

Sep 04, 2017

Nice examples and material

par Jha A

Apr 19, 2018

very good to understand .

par BIBHUTI B P

May 30, 2017

Good analysis study case.

par Carlos A C Z

Feb 12, 2018

ok, but could be better

par Praveen K B

Sep 14, 2017

Good One to start with

par Stephen G

Sep 22, 2016

Overall a good course!

par Soma S K

Sep 29, 2018

Good Place to learn

par Liang Y

Oct 28, 2016

Like the clustering

par Daniel R

Mar 03, 2016

Really Enjoyable!

par Filipe R

Jul 17, 2017

Good material