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Learner Reviews & Feedback for Inferential Statistics by Duke University

4.8
stars
2,768 ratings

About the Course

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 reviews

GP

Jan 7, 2021

The final project does not help, for example someone used discrete data 1,2,3,4,5 .... ,40 to compute a p.value as if it was normal. It is too general and does not fill the purpose of the course.

AC

Feb 17, 2019

The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided

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326 - 350 of 485 Reviews for Inferential Statistics

By Dong-Hyun

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Dec 22, 2016

It feels very rushed.

By Tharaka M

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Jan 3, 2021

good, thank you.....

By Konrad G

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Jul 25, 2016

Excellent course !!!

By ESTER N

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Oct 13, 2025

very clear.. thanks

By Carlos A M Q

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Jul 18, 2020

Really good course!

By Usman A

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Sep 8, 2018

Highly recommended

By Ashish R

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Aug 24, 2018

Excellent Course!!

By Miguel d L L

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Dec 28, 2016

Very good, indeed.

By Sinan J H

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Aug 6, 2016

Very useful course

By Lou B V

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Sep 4, 2020

Great. Thank you!

By Akther H

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Mar 16, 2019

Excellent course.

By Ricardo B

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Nov 6, 2017

Fantastic course!

By PAUL B

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Apr 15, 2025

très intéressant

By Oscar C R

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Jun 23, 2020

Excellent course

By María G G M

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May 4, 2020

Excellent course

By Nimish B

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Dec 26, 2019

Very Informative

By philip o

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Feb 10, 2019

very informative

By Green C

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Mar 28, 2017

very nice course

By Топчу Я М

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May 23, 2021

Perfect course!

By Daniel R

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Feb 4, 2019

Amazing course!

By Sanjay G

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Mar 8, 2018

Awesome course!

By Tian Z

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Sep 25, 2017

Pretty helpful!

By Gayathri R

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Aug 9, 2020

Simply awesome

By Lalu P L

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Apr 21, 2019

Awesome Course

By Byeong-eok K

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Jul 13, 2017

Great Course^^