Chevron Left
Zurück zu Inferenzstatistik

Bewertung und Feedback des Lernenden für Inferenzstatistik von Duke University

4.8
Sterne
2,294 Bewertungen
419 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...

Top-Bewertungen

ZC
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!!!

MN
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!

Filtern nach:

251 - 275 von 414 Bewertungen für Inferenzstatistik

von Liu X

23. Okt. 2021

very helpful and easy to learn

von Sophie G

25. Juli 2018

Very interesting, well taught.

von Do D T

2. Sep. 2017

good but hard and more complex

von Evelyn P

14. Juli 2017

The course was really good !!!

von Mikhail E

9. Jan. 2017

Super puper really cool staff!

von Marina C R

31. Juli 2017

Excellent course and teacher.

von Jimmy S

1. Juni 2017

Excellently organized course.

von Minasian V

11. Aug. 2016

Very usefull and interesting.

von Daniel G P C

24. Jan. 2020

It was good I learned a lot.

von Etienne T

3. Okt. 2017

Very interesting, good pace.

von Saul A G C C

17. Apr. 2017

Good course, good statistics

von Aditya G

23. Mai 2020

This course is really good.

von Uyen P

29. Dez. 2016

Good course worth learning.

von Jeremias M G

28. Juli 2017

Good classes and material.

von Huynh T

3. Aug. 2019

It is very helpful to me.

von Ramakrishna T

2. Mai 2018

Excellent Lecture, Thanks

von Gao H

26. Juli 2017

pretty easy to understand

von Ash H

16. Aug. 2020

It's an awesome course.

von Menahem P

15. Sep. 2016

Excellent. Thank you.

von YASHKUMAR R T

16. Jan. 2019

I found the treasure.

von Tamieka F

3. Sep. 2017

Fantastic! Thank you!

von Dong-Hyun

22. Dez. 2016

It feels very rushed.

von Gökhan G

28. Mai 2021

It's a great course!

von Alagiyawadu T M

3. Jan. 2021

good, thank you.....

von Konrad G

25. Juli 2016

Excellent course !!!