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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

5,946 classificações
871 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

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!

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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226 — 250 de 840 Avaliações para o Análise Exploratória de Dados

por Yadder A

12 de Nov de 2017

I enjoy a lot this course, but I was waiting for more assignments with plots

por Luong M Q

20 de Mar de 2017

Very fruitful course on how to approach issues and use plots to deal with it

por Sachin R

19 de Dez de 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

por Lee Y L R

5 de Jan de 2018

A very good and concise course, with useful tools to explore data visually!

por Venkatesh

1 de Jul de 2017

Very interesting way of representing data in pictorial form using R as tool

por Sandra G

1 de Ago de 2018

Great course, I have improved my skill plotting in R and organizing files.


10 de Set de 2017

Very good for anyone wanting to get into the field of Data Science using R

por Jordi A C

24 de Jan de 2017

Very interesting course on plotting with R and much more! I've enjoyed it.

por Nils N

26 de Set de 2016

If you get data, take this course! You will love the course and your data!

por samuel c j

18 de Jul de 2020

La información que se vio en el curso es relevante y está bien explicada.

por Stefan P L

9 de Fev de 2018

Overall good course! Though I hope there is more exercise in SVD/PCA part

por Ahmed M K

8 de Jan de 2017

What a wonderful course to undertake. On my way to take all 10 courses :D

por Damian S

26 de Out de 2021

Very nice course with interesting case examples. I recommend this course

por Thiago Y

7 de Nov de 2020

Excelente, here i learned how explore and extract insights from my data.

por Diana S

11 de Fev de 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

por manuel s g

24 de Abr de 2020

Very useful course conceptually as well as with excercises and projects

por Laura B

7 de Jul de 2017

Good info. But I would like to have reminder emails for the due dates.

por Erika G

6 de Fev de 2016

I learned a lot and the assignments were the right kind of challenging.


25 de Jun de 2020

Great course! The swirl courses in particular helped me to learn more

por Elaine E

8 de Dez de 2019

I think this was a great intro course to graphing and exploring data!

por Natalie R

25 de Jan de 2019

Fantastic way to learn graphing systems in R and exploratory analysis

por Karan B

4 de Mar de 2018

Excellent course

Swirl lesson makes learning data science much easier

por Sandhya A

25 de Fev de 2018

I learnt a lot about plotting system and about exploratory research.


24 de Dez de 2016

This course is very helpful. Thanks for the teachers of this course.

por Bill K

10 de Fev de 2016

Really great class that teaches tools you can put to use right away.