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Voltar para Análise Exploratória de Dados

Comentários e feedback de alunos de Análise Exploratória de Dados da instituição Universidade Johns Hopkins

4.7
estrelas
5,981 classificações
875 avaliações

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

CC

28 de jul de 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 de set de 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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726 — 750 de 844 Avaliações para o Análise Exploratória de Dados

por Giovanni M C V

16 de fev de 2016

Excellent course with great didactic. Congratulations!

por jishuenkam

27 de ago de 2016

Hopefully it could be clearer on dimension reduction.

por Murugesan A

22 de mar de 2017

Well crafted, carefully designed learning materials!

por Dan B

10 de set de 2018

NIce course, but the lectures are a little tedious

por AJSC T V

15 de dez de 2019

Decent overview of the graphing fundamentals in R

por Shivanand R K

21 de jun de 2016

Great and Excellent thoughts and course material.

por Mohammad F H

15 de set de 2016

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

por Nilrey J D C

7 de out de 2019

This is a good introduction to do EDA using R.

por Ratnikov Y

27 de mai de 2017

Clustering is overwhelming field of knowledge.

por LIWANGZHI

20 de set de 2018

More instructions on SVD/PCA would be welcome

por Christoph G

12 de jun de 2016

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

por Freddy M C F

29 de jun de 2017

Very good Introductory Course. Thank you!

por Saad U R

26 de set de 2021

nice but requires bit more demonstration

por Yash A G

6 de abr de 2020

Clustering Should be explained in detail

por Kai C Y

25 de mai de 2016

More real data example is even better!!!

por K V S

26 de mai de 2020

Good Course to understand Data Analysis

por Kathy K

10 de dez de 2016

good overview of how to make graphs!

por Snehangshu R

12 de nov de 2021

More lecture on ggplot is required.

por Saruul A

23 de dez de 2017

good for building basic foundation

por Jeffrey H

2 de out de 2020

Sum issues with SWIRL package

por Aditya G

14 de dez de 2016

Assignments were really good!

por Andres M

18 de fev de 2016

The need update the homeworks

por Mehul P

12 de set de 2017

Nice one to understand EDA.

por Fernando M

4 de set de 2017

Nice examples and material

por Mhd A A S

16 de mai de 2020

My favorite course so far