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

1,937 évaluations
361 avis

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


Aug 24, 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!!!


Mar 01, 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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226 - 250 sur 355 Avis pour Statistiques déductives

par Etienne T

Oct 03, 2017

Very interesting, good pace.

par Saul A G C C

Apr 17, 2017

Good course, good statistics

par Aditya G

May 23, 2020

This course is really good.

par Pham L P U

Dec 30, 2016

Good course worth learning.

par Jeremias M G

Jul 29, 2017

Good classes and material.

par Tran T H

Aug 03, 2019

It is very helpful to me.

par Ramakrishna T

May 02, 2018

Excellent Lecture, Thanks

par Gao H

Jul 26, 2017

pretty easy to understand

par Ash H

Aug 16, 2020

It's an awesome course.

par Menahem P

Sep 16, 2016

Excellent. Thank you.


Jan 16, 2019

I found the treasure.

par Tamieka F

Sep 04, 2017

Fantastic! Thank you!

par Dong-Hyun

Dec 22, 2016

It feels very rushed.

par Konrad G

Jul 25, 2016

Excellent course !!!

par Carlos A M Q

Jul 18, 2020

Really good course!

par Usman A

Sep 08, 2018

Highly recommended

par Ashish R

Aug 24, 2018

Excellent Course!!

par Miguel d L L

Dec 28, 2016

Very good, indeed.

par Sinan J H

Aug 06, 2016

Very useful course

par Lou B V

Sep 04, 2020

Great. Thank you!

par Akther H

Mar 17, 2019

Excellent course.

par Ricardo B

Nov 06, 2017

Fantastic course!

par Oscar C R

Jun 23, 2020

Excellent course

par María G

May 04, 2020

Excellent course

par Nimish B

Dec 27, 2019

Very Informative