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Bewertung und Feedback des Lernenden für Inferenzstatistik von Duke University

4.8
Sterne
2,400 Bewertungen
437 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

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!

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!!!

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176 - 200 von 432 Bewertungen für Inferenzstatistik

von Umair R

21. Nov. 2018

Excellent teaching style with enough practice to get a good grip on whatever is taught

von Heungbak C

6. Juni 2019

Very useful and meaningful lectures!

I learned many things from this course.

Thank you.

von Andrea P

8. Jan. 2018

Top teacher, very nicely and clearly explained! Very happy with what I have learned!

von Karel G

5. Dez. 2016

Great tutorial! That feeling when everything just fit together and works well...

von Kevin L

20. Juni 2017

Excellent course, great videos and supplemental material was extremely helpful.

von Vikas J

18. Juni 2016

Simply Superb. Things are explained in such a clear manner with great examples.

von Nandkishore S

12. Juni 2019

seeking statistics inference through example in very convenient and easier way

von Kwokmun L

20. Okt. 2016

Great material and wonderful instruction! One of the better courses out there.

von Pilla S M S

4. Apr. 2020

Very elaborate course on Statistical Inference. Loved learning the course. :)

von Ruben D S P

28. Mai 2019

great class, I improved many Statistics skills and learned R at the same time

von Grisel C A

4. Juni 2017

I liked the course, it was a good challenge. I learned most than i expected.

von Rizwan A

20. Sep. 2021

the course was awesome. the learning from Dr. Citinkya is an opportunity..

von Deleted A

13. Aug. 2021

Great course! All content are useful and explained in a understandable way

von Marcus S

30. Apr. 2018

This is it, this is the course where everything starts. truly recommended.

von Anushka B T

25. Juni 2020

Easy to understand and great course coverage!Really enjoying statistics!!

von Fatima S

13. Sep. 2019

Thank you Dr. Mine Çetinkaya-Rundel, you are the best teacher I ever had.

von Alexey K

8. März 2018

It is very interesting and well-organized base of knowledge in Statistics

von Aniruddha K

10. Mai 2020

The best course to understand all the basics for inferential statistics.

von Marcos J M

23. Dez. 2020

Excelente Curso. Excelente Professora Ministrante. Didática excelente.

von Sidhant P

24. Jan. 2019

This is a great course. One can learn so many things from this course.

von Rachit K

27. Sep. 2017

another wonderful course and perfect if you followed the intro course.

von Karanpal S

26. Okt. 2016

Nicely explained all the concepts. Course is planned well. Thumbs Up!!

von Randy M

25. Apr. 2022

Excellent course. Concepts of statistics coupled with R. Nicely Done.

von Volodymyr F

18. Dez. 2019

Excellent course! I enjoy the whole Statistics with R specialization.

von Samuli P

25. Okt. 2017

Very practical and useful while also founded on good amount of theory