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Bewertung und Feedback des Lernenden für Inferenzstatistik von Duke University

2,313 Bewertungen
424 Bewertungen

Über den Kurs

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...


23. Aug. 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. Feb. 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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376 - 400 von 418 Bewertungen für Inferenzstatistik

von Lucia M

23. Apr. 2020

It was a very interesting and useful course. To improve it a little bit, I would focus more on the use of R to do different analysis.

von Janusz P

29. Apr. 2018

I liked this course because it gives basic ideas how inferential statistics works, without going into mathematical details.

von Peter C

18. Nov. 2018

I thought this course did a great job of incorporating R code into the lecture and hope that continues in future courses.

von Rohit D W

14. Aug. 2020

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

von Richard M

8. März 2019

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

von Markus K

18. Aug. 2017

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

von Kirran R M R

6. Sep. 2018

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

von Mikhail I

16. Juli 2020

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

von Ghada S

12. Dez. 2019

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

von mnavidad

14. Juni 2018

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

von Robert F

8. Aug. 2016

Nice introduction to statistical inference concepts and techniques

von Shalabh S

31. Mai 2017

Very nice coarse for learning methods of inferential statistics.

von Aravindan V

2. Sep. 2018

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

von romen a

10. Mai 2020

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


5. März 2018

Need to revisit few classes as it was little aggressive.

von Dgo D

22. Feb. 2017

Its a very good way to introduce to R language


29. Okt. 2016

good powerful insight into statistics. Thanks!

von Takahiro M

5. März 2017

This is great course as Intro to Statistics

von Sujhan D

13. Aug. 2021

could be made a little more interesting

von Nathan H

26. Dez. 2017

I wish there was more exposure to R.

von José M C

4. Jan. 2017

Very useful tools for inference

von Yu X S

14. Feb. 2021

Too hard for beginners.

von YUJI H

28. Dez. 2017

It is very difficult...

von vineet r p

12. Feb. 2021

It was a great course

von FERRIOL , S A (

26. Apr. 2021

Very helpful