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Volver a estadísticas por inferencias

Opiniones y comentarios de aprendices correspondientes a estadísticas por inferencias por parte de Universidad Duke

2,295 calificaciones
420 reseña

Acerca del 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...

Principales reseñas

28 de feb. 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!

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!!!

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251 - 275 de 415 revisiones para estadísticas por inferencias

por Liu X

23 de oct. de 2021

very helpful and easy to learn

por Sophie G

25 de jul. de 2018

Very interesting, well taught.

por Do D T

2 de sep. de 2017

good but hard and more complex

por Evelyn P

14 de jul. de 2017

The course was really good !!!

por Mikhail E

9 de ene. de 2017

Super puper really cool staff!

por Marina C R

31 de jul. de 2017

Excellent course and teacher.

por Jimmy S

1 de jun. de 2017

Excellently organized course.

por Minasian V

11 de ago. de 2016

Very usefull and interesting.

por Daniel G P C

24 de ene. de 2020

It was good I learned a lot.

por Etienne T

3 de oct. de 2017

Very interesting, good pace.

por Saul A G C C

17 de abr. de 2017

Good course, good statistics

por Aditya G

23 de may. de 2020

This course is really good.

por Uyen P

29 de dic. de 2016

Good course worth learning.

por Jeremias M G

28 de jul. de 2017

Good classes and material.

por Huynh T

3 de ago. de 2019

It is very helpful to me.

por Ramakrishna T

2 de may. de 2018

Excellent Lecture, Thanks

por Gao H

26 de jul. de 2017

pretty easy to understand

por Ash H

16 de ago. de 2020

It's an awesome course.

por Menahem P

15 de sep. de 2016

Excellent. Thank you.

por 이선

5 de dic. de 2021

The excellent course.


16 de ene. de 2019

I found the treasure.

por Tamieka F

3 de sep. de 2017

Fantastic! Thank you!

por Dong-Hyun

22 de dic. de 2016

It feels very rushed.

por Gökhan G

28 de may. de 2021

It's a great course!

por Alagiyawadu T M

3 de ene. de 2021

good, thank you.....