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Learner Reviews & Feedback for Inferential Statistics by Duke University

2,645 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


Feb 28, 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!


Aug 23, 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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451 - 466 of 466 Reviews for Inferential Statistics

By Raffaele S

Nov 8, 2018

The fundamental concepts of statistics are well explained, however the exercises involvig R are kinda rushed up. Moreover, the R part is accomplished mainly by a library, dplyr, and the main concepts of R as a programming language are skipped. Finally, the peer grade review is a little more advanced than the course lessons and takes really a painful process - but this is a common problem in coursera.

By Артур Л

May 1, 2024

Some examples were too complicated and only added complexity to understanding the material by delving into the context of the example.

By Cezary K

Jun 30, 2017

For me there is not much more than u could learn in comparison to previous course. Would expect some more knowledge from this course

By mark n

Jul 18, 2018

great instruction on statistics, but no lectures on R. The R portion of the class is given as a lab at the end of each week.

By Luke F

May 18, 2017

The lady could have used a bit more rehearsing before recording.

By Willian A

Mar 31, 2018

Too much basic

By Keith B L S

Apr 4, 2022

Good job!

By Pua, A C R

May 2, 2024



Apr 22, 2021

Tutorial to use the program or software is fundamental in this course

By Alberto M

Jul 19, 2021

Nothing really works well and instructions are not clear.

By vivek d

Apr 29, 2021

will do it later , right too complicated

By Muneera M

Nov 6, 2021

please tel me how to enroll for free

By SachinVargheseBiju

Jul 18, 2020

very irritating

By Deleted A

Apr 21, 2021

putang ina

By farzad s

Jul 25, 2019


By Raul R

Dec 9, 2019