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Voltar para Estatística Inferencial

Comentários e feedback de alunos de Estatística Inferencial da instituição Universidade Duke

4.8
estrelas
2,525 classificações

Sobre o curso

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data...

Melhores avaliações

ZC

23 de ago de 2017

This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!

MN

28 de fev de 2017

Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!

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401 — 425 de 443 Avaliações para o Estatística Inferencial

por Rohit D W

14 de ago de 2020

An Introductory course with a lot of examples and a project at the end to furnish your concepts and knowledge.

por Richard M

8 de mar de 2019

Generally a great course, but would benefit from a better explanation at times of how to use R effectively.

por Markus K

18 de ago de 2017

Good videos, good book with exercises but many useful functions in R were not introduced (e.g. t.test()).

por Kirran R M R

6 de set de 2018

More detailed answers on Quiz questions and some more explanation on R codes will help a lot

por Mikhail I

16 de jul de 2020

good course overall. Would love to see more math exercises rather than wording of problems.

por Ghada S

12 de dez de 2019

I think it is a little bit difficult for someone who knows nothing about probability or R.

por mnavidad

14 de jun de 2018

This course is great learn a lot well explained, the professor is great!!!

por Robert F

8 de ago de 2016

Nice introduction to statistical inference concepts and techniques

por Shalabh S

31 de mai de 2017

Very nice coarse for learning methods of inferential statistics.

por Aravindan V

2 de set de 2018

Very well structured.Could focus on R programming a bit more!

por romen a

10 de mai de 2020

¡Es una pena que no se traten más contenidos! Está genial

por Veeraraghavan V

5 de mar de 2018

Need to revisit few classes as it was little aggressive.

por Dgo D

22 de fev de 2017

Its a very good way to introduce to R language

por SAURAV P

29 de out de 2016

good powerful insight into statistics. Thanks!

por Takahiro M

5 de mar de 2017

This is great course as Intro to Statistics

por Sujhan D

13 de ago de 2021

could be made a little more interesting

por Nathan H

26 de dez de 2017

I wish there was more exposure to R.

por José M C

4 de jan de 2017

Very useful tools for inference

por Yu X S

14 de fev de 2021

Too hard for beginners.

por YUJI H

28 de dez de 2017

It is very difficult...

por Nikolaos I

26 de mar de 2022

very poor contend on R

por vineet r p

12 de fev de 2021

It was a great course

por FERRIOL , S A (

26 de abr de 2021

Very helpful

por Ananda R

12 de mar de 2017

excellent

por joao b p d s

9 de mar de 2018

excelent