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Avis et commentaires pour d'étudiants pour Statistiques déductives par Université Duke

2,525 évaluations

À propos du cours

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...

Meilleurs avis


23 août 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 févr. 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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176 - 200 sur 443 Avis pour Statistiques déductives

par Li J

7 sept. 2018

I love to learn this course, thanks professor Rundel, you have inspired me for statistics~

par Gustavo R d S

4 avr. 2022

Excellent course. It shows many concepts with examples and very well explained lectures.

par Robin M

17 juin 2019

Great course, more difficult than the first module. The code was super useful to learn.

par Umair R

21 nov. 2018

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

par Heungbak C

6 juin 2019

Very useful and meaningful lectures!

I learned many things from this course.

Thank you.

par Andrea P

8 janv. 2018

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

par Karel G

5 déc. 2016

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

par Kevin L

20 juin 2017

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

par Vikas J

18 juin 2016

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

par Nandkishore S

12 juin 2019

seeking statistics inference through example in very convenient and easier way

par Kwokmun L

20 oct. 2016

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

par Pilla S M S

4 avr. 2020

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

par Ruben D S P

28 mai 2019

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

par Grisel C A

4 juin 2017

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

par Rizwan A

20 sept. 2021

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

par Deleted A

13 août 2021

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

par Marcus S

30 avr. 2018

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

par Anushka B T

25 juin 2020

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

par Fatima S

13 sept. 2019

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

par Alexey K

8 mars 2018

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

par Aniruddha K

10 mai 2020

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

par Marcos J M

23 déc. 2020

Excelente Curso. Excelente Professora Ministrante. Didática excelente.

par Sidhant P

24 janv. 2019

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

par Rachit K

27 sept. 2017

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

par Karanpal S

26 oct. 2016

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