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

4.7
étoiles
5,919 évaluations
864 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
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.

Y
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!

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826 - 833 sur 833 Avis pour Exploration analytique de données

par Esther L

22 août 2019

Too weak regarding the clustering methods, very disappointed.

par ewa b

31 mai 2017

didnt get much useful-- a whole "course" on plotting? meh.

par Vineet P

2 juin 2020

Not upto expectations

par Michal K

10 mai 2016

too superficial

par Piyush V

21 juin 2016

Veyr boring

par Christy P

24 août 2017

How can you have a course on Graphic Devices and not show one screen shot of a graphic or open R to show how to perform the ideas around this topic?

par Nicholas

30 sept. 2016

NEEEEEED TO EDIT MY PEER REVIEW FROM OTHERS

par Carsten J

1 mars 2016

Material is to basic for an entire course.