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Learner Reviews & Feedback for Inferential Statistics by Duke University

4.8
stars
2,621 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

ZC

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!!!

MN

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!

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426 - 450 of 460 Reviews for Inferential Statistics

By Robert F

Aug 8, 2016

Nice introduction to statistical inference concepts and techniques

By Shalabh S

May 31, 2017

Very nice coarse for learning methods of inferential statistics.

By Aravindan V

Sep 2, 2018

Very well structured.Could focus on R programming a bit more!

By romen a

May 10, 2020

¡Es una pena que no se traten más contenidos! Está genial

By Veeraraghavan V

Mar 5, 2018

Need to revisit few classes as it was little aggressive.

By Dgo D

Feb 22, 2017

Its a very good way to introduce to R language

By SAURAV P

Oct 29, 2016

good powerful insight into statistics. Thanks!

By Takahiro M

Mar 5, 2017

This is great course as Intro to Statistics

By Sujhan D

Aug 13, 2021

could be made a little more interesting

By Yuping Y

Jul 6, 2023

Some lab or reading material outdated

By Nathan H

Dec 26, 2017

I wish there was more exposure to R.

By José M C

Jan 4, 2017

Very useful tools for inference

By Yu X S

Feb 14, 2021

Too hard for beginners.

By YUJI H

Dec 28, 2017

It is very difficult...

By Nikolaos I

Mar 26, 2022

very poor contend on R

By vineet r p

Feb 12, 2021

It was a great course

By FERRIOL , S A (

Apr 26, 2021

Very helpful

By Ananda R

Mar 12, 2017

excellent

By joao b p d s

Mar 9, 2018

excelent

By Hans H

Aug 18, 2022

I had hope hoped to learn how to conduct inferential statistic in R, but the course focuses a lot on concepts and calculating everything by hand. I think that is good, but not enough. So even after completing the course I'm not able to conduct a ANOVA or calculate chi-statistics in. The quizzes are also very focused on definitions and conditions, containing very tricky wordings at times. So even though you can do all the calculations and you know the right answer, the right answer can be very difficult to identify.

By Shawn G

Apr 20, 2017

I would give it a 3.5, with the extra 0.5 because of the great interaction, ease of use, and clarity of progress. It was pretty hard for me and I barely made it in under the deadline (jumping session to session to complete). You definitely need some R background by the end for the project. I expected to get more in information in using R for inferential statistics too... though there was a presentation and each lesson had followup for use in R. Great use of examples for each section. That helped me a lot.

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 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.