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

5,922 évaluations
865 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

23 sept. 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!

28 juil. 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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726 - 750 sur 835 Avis pour Exploration analytique de données

par Ratnikov Y

27 mai 2017

Clustering is overwhelming field of knowledge.


20 sept. 2018

More instructions on SVD/PCA would be welcome

par Christoph G

12 juin 2016

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

par Freddy M C F

29 juin 2017

Very good Introductory Course. Thank you!

par Saad U R

26 sept. 2021

nice but requires bit more demonstration

par Yash A G

6 avr. 2020

Clustering Should be explained in detail

par Kai C Y

25 mai 2016

More real data example is even better!!!

par Venkata S

26 mai 2020

Good Course to understand Data Analysis

par Kathy K

10 déc. 2016

good overview of how to make graphs!

par Saruul A

23 déc. 2017

good for building basic foundation

par Jeffrey H

2 oct. 2020

Sum issues with SWIRL package

par Aditya G

14 déc. 2016

Assignments were really good!

par Andres M

18 févr. 2016

The need update the homeworks

par Mehul P

12 sept. 2017

Nice one to understand EDA.

par Fernando M

4 sept. 2017

Nice examples and material

par Mhd A A S

16 mai 2020

My favorite course so far

par ayush j

19 avr. 2018

very good to understand .


30 mai 2017

Good analysis study case.

par Carlos A C Z

12 févr. 2018

ok, but could be better

par Praveen K B

14 sept. 2017

Good One to start with

par Stephen G

22 sept. 2016

Overall a good course!

par Divyam M

12 juin 2020

assignments were good

par Soma S K

29 sept. 2018

Good Place to learn

par Liang Y

28 oct. 2016

Like the clustering

par Daniel R

2 mars 2016

Really Enjoyable!