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Bewertung und Feedback des Lernenden für Inferenzstatistik von Duke University

2,422 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...



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!


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!!!

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326 - 350 von 435 Bewertungen für Inferenzstatistik

von Oscar V C

28. Dez. 2016

Great course

von Lochan B

5. Dez. 2016

Really good.

von Pavels S

21. Okt. 2016

great course

von Bharat L

9. Aug. 2016

Great course

von Irene R

28. Feb. 2021


von schlies

31. Mai 2019

good course

von Eyuel M M

17. Nov. 2018

Just Great!

von 大大的尼玛

17. Mai 2018

真棒 真棒 很好 哦耶

von ShuaiZhao

17. Feb. 2018

nice course

von John M V

27. Sep. 2021

<3 love it

von Eduardo M

25. Juli 2019


von Gilberto S G

19. Dez. 2018


von Prasenjit P

14. Sep. 2018

Superb !!!

von Gustavo G

22. Apr. 2017

I love it!

von Donal G

7. Jan. 2017

Very good.

von chenhyde628

20. Nov. 2016

very good.

von Sumedha S

1. Juli 2020

Thank you

von manuel e c e

27. Okt. 2017

Thank you

von EXAL G S

16. Feb. 2017



23. Apr. 2021

So great

von Alfredo N

10. Feb. 2019


von Raj K P

18. Sep. 2017

good one

von gerardo r g

22. Juli 2019


von guangyuan l

2. Aug. 2018


von Jeff G D

10. Aug. 2016