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Voltar para Exploratory Data Analysis

Exploratory Data Analysis, Johns Hopkins University

4.7
4,134 classificações
608 avaliações

Informações sobre o curso

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....

Melhores avaliações

por 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.

por 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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580 avaliações

por 王昊辰

Dec 12, 2018

The data used for training are too big to be processed on my computer....

It is a real burden for my laptop when I use Rstudio to view some big files.....

por Jessica Roland

Dec 02, 2018

Very useful course

por Anitha Krishna

Nov 28, 2018

Excellent and thank you very much!

por Gustavo Castilhos Garcia

Nov 15, 2018

Great knowledge and instructor, as usual.

por Qingchuan Cui

Nov 07, 2018

Some real stuff

por 木槿

Nov 02, 2018

good

por David Robinson

Oct 22, 2018

An extremely interesting course, with many practical applications many of which I've applied in my day to day work already.

por Terry L Jones

Oct 18, 2018

Seems this would type of course in an online learning MOOC would be better if it was more direct hands on "how to" and less focused on explanatory fluff (academic style) .

por Dale Ossip Johnson

Oct 16, 2018

This has been a challenging course for me, for whatever reasons. I have devoted a great deal of time in reading Dr. Peng's books as well as reviewing work product of other students to get a better grasp of the logic and methodology. I have enjoyed this course more than any of the preceding courses. And, the struggle I believe will be worth the effort and facilitate my completion of the data science specialization program.

por Bojan Brajkovic

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.