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Volver a estadísticas por inferencias

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

2,294 calificaciones
419 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

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!!!

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!

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401 - 415 de 415 revisiones para estadísticas por inferencias

por Stefan G

3 de jul. de 2021

The course is interesting, the instructor competent and you can learn a lot when you also buy the book. Unfortunately the course is a few years old and the materials have not been updated since then. Code samples don't work anymore, links for material or quiz don't exist, references to the book are outdated (sometimes a wrong page, sometimes a wrong version), questions in forum are not more answered, and so on. If the course would be updated, i would rate it 5 stars.

por Raffaele S

8 de nov. de 2018

The fundamental concepts of statistics are well explained, however the exercises involvig R are kinda rushed up. Moreover, the R part is accomplished mainly by a library, dplyr, and the main concepts of R as a programming language are skipped. Finally, the peer grade review is a little more advanced than the course lessons and takes really a painful process - but this is a common problem in coursera.

por Cezary K

30 de jun. de 2017

For me there is not much more than u could learn in comparison to previous course. Would expect some more knowledge from this course

por mark n

18 de jul. de 2018

great instruction on statistics, but no lectures on R. The R portion of the class is given as a lab at the end of each week.

por Luke F

18 de may. de 2017

The lady could have used a bit more rehearsing before recording.

por Willian W

31 de mar. de 2018

Too much basic

por CSE 1 A

6 de sep. de 2020

Not able to grasp even a single concept. For every topic I've to go to youtube to study it. The instructor seems to read a page. There is a difference between teaching and reading


22 de abr. de 2021

Tutorial to use the program or software is fundamental in this course

por Alberto M

19 de jul. de 2021

Nothing really works well and instructions are not clear.

por vivek d

29 de abr. de 2021

will do it later , right too complicated

por Muneera M

6 de nov. de 2021

please tel me how to enroll for free

por SachinVargheseBiju

18 de jul. de 2020

very irritating

por Deleted A

21 de abr. de 2021

putang ina

por farzad s

25 de jul. de 2019


por Raul R

9 de dic. de 2019