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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
5,946 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

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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201 — 225 de 840 Avaliações para o Análise Exploratória de Dados

por Susan M

12 de Out de 2020

Sound practicum with challenging and comprehensive projects to solidify skill set.

por Shubham S

7 de Out de 2019

Thank you so much instructors, the learning curve till now has been great for me.

por Pooia L

30 de Ago de 2018

I loved it, it improved my R skills in plotting and also gave me nice insights!!!

por Pradeep S

21 de Jan de 2018

Very useful subject on churning data to derive meaningful and actionable insights

por Juliana C

25 de Set de 2017

Great course to learn how to build nice graphics and do exploratory data analysis

por Zhiming

23 de Set de 2017

This course is quite helpful. Especially the part which we learned to use ggplot.

por Jairo A V G

25 de Jun de 2020

an excellent course that allowed me to expand my knowledge and learn new things.

por Admet Z

28 de Mai de 2018

Found this course very impressive and challenging. Looking forward for the next.

por santiago R

14 de Nov de 2017

Very nice course. good material. Not easy nor boring at all. Really learned here

por Ravi S R

10 de Set de 2017

This course is very important for beginners and it is also simple to understand.

por Saikiran K

30 de Jun de 2016

This course served as a great introduction to R and helped me to get ease with R

por danxu

22 de Mai de 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

por Gayathri N

6 de Jun de 2020

Explained in a simple and clear way for folks like me who are new to the course

por Raunak S

11 de Out de 2018

awesome course to learn exploratory data analysis using R programming language.

por Luiz A M F

26 de Dez de 2016

Excellent course to develop and understand the technique of data visualization.

por Nipuni D

26 de Set de 2021

I have leraned a a lot on basic plotting systems. very helpful for a beiginer

por Angela C

9 de Set de 2019

The BEST course in the series by far. You finally get your hands on some data.

por Bruno R S

14 de Jan de 2019

An excellent introduction to R' basic processing and graphing functionalities.

por Antonio M L

17 de Fev de 2018

Useful. very clear and easy to review and learn ggplot and other useful things

por antonio q

30 de Dez de 2017

very good course, a fast and robust was to learn data analysis using R, thanks

por Ranjith C K

1 de Mai de 2017

good course with example and assignment, we get the real feel of doing things.

por Alberto M T V

15 de Jun de 2016

Excellent course. Nice lectures to guide to graphics use in data presentation.

por Hathairat W

9 de Fev de 2019

The course is definitely useful for my job. I learned new skills and had fun!

por Vitalii S

20 de Jul de 2017

I am using exploratory data analysis almost every time when loading raw data.

por Dan K H

28 de Mar de 2016

Excellent course, Rogers enthusiasm shows truly through to his speed-talk :-)