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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

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

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!

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.

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701 — 725 de 844 Avaliações para o Análise Exploratória de Dados

por RobinGeurts

21 de fev de 2019

End assignement was relatively easy compared to the examples in the lectures

por Mario S P G

17 de set de 2018

Good beginners course with helpful tools to take a first glance to your data

por Polina

25 de abr de 2018

Nice course, very useful. I wish the links were updated more often, however.

por Jan W v d L

14 de fev de 2021

Learned a lot, the cluster and kmeans could have been more explained though

por Gao Q

23 de jul de 2018

Great content for beginners to get familiar with various graphic tools in R

por Mario P

20 de jan de 2018

I suggest to shift a little more the focus on svd and clustering techniques

por Olga H

22 de set de 2017

Good course, would have likes more practice & testing on the clustering stu

por Andrew W

19 de mar de 2018

Challenging but great fun and really helped me to get more familiar with R

por Carlos L

22 de jun de 2016

swirl is very used in this course. It is one of the best tools to learn R

por Sarfaraz U A

20 de ago de 2021

Nice course but it would have been better if more theory was covered.

por Caio H F A

22 de abr de 2020

Nice but the projects are way harder than the lessons and quizzes;

por Anirban C

19 de jul de 2017

Nice course! Assignments could have been a little more challenging

por Ankit A

16 de dez de 2016

The exploratory part was very good. But, PCA was a waste of time.

por Jeff B

4 de mar de 2018

The plotting aspects of this course appealed to my visual sense.

por Ashish S

17 de mai de 2016

This would be very effective for my personal skill enhancement.

por Pierre D

3 de fev de 2016

More challenging Problem sets, as in the R Programming course !

por Frederik C

23 de mai de 2018

High quality course, but the order of lectures is not perfect

por Richard D

12 de jun de 2017

Great overview, especially the parts on dimension reduction.

por YOGESH R

30 de set de 2020

sorry, but I didn't understood much from 3rd and 4th week..

por Sakshat R

3 de jul de 2020

Really nice course! Great instructor and good case studies!

por Vebashini N

14 de nov de 2017

Thank you, i learnt a lot and will continue on my journey.

por Rajeev D

17 de fev de 2021

It was a great experience to complete such a good course.

por Sahil S

24 de jan de 2021

Best course of the 4 taken so far in this specialization

por Paul M

2 de jun de 2016

Very good introduction to the various graphing systems.

por Yang D

9 de ago de 2018

Improvement should be done to the materials of Week 3.