Learner Reviews & Feedback for Inferential Statistics by Duke University
About the Course
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...
Top reviews
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!
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!!!
176 - 200 of 479 Reviews for Inferential Statistics
By Amn A
•May 21, 2021
What an amazing course! And it's getting better and better. Challenging, but it's worth every second!
By Holger H
•Oct 17, 2017
Great course at just the right level of depth and difficulty. Great with so many hands-on labs in R.
By WENDELL A D C
•Jan 10, 2022
Thank you for this course! I learned a lot regarding statistics and another programming language.
By James C
•Jan 11, 2018
Great course. I have studied statistics before, but this time it was much clearer and well applied
By Sonal S
•Sep 18, 2017
Its amazing! Clearly makes you understand the concepts and makes you understand how to apply them.
By Victor A d S P
•Apr 19, 2020
Great course. I recommend if you are still not very comfortable in dealing with basic statistics.
By Pu Y
•Nov 24, 2017
This is a well-structed statistic courses, with lots of hands-on lab practices. Highly recommand.
By OSCAR F G C
•Apr 18, 2023
This whole course was great and very challenging, it requires quite a bit of effort to complete.
By VICTOR A I L
•May 14, 2021
Es un excelente curso, cubrió mas temas y de mucha mejor forma de los que vi en la licenciatura.
By Val
•Jul 18, 2017
Well-organized course, but a bit like drinking from a firehose compared to others in the series.
By Endong T
•Aug 24, 2020
This course helped me a lot to review the concepts and applications of inferential statistics.
By Tanvi S
•Aug 23, 2020
Very useful course for those who want to beautifully present their data in a meaningful form.
By Arun P
•Sep 25, 2017
A very helpful and informative course. Dr. Mine Cetinkaya-Rundel is excellent in her videos.
By Numan S
•Jul 16, 2020
This course provides all the details regarding statistical inference and hypothesis testing.
By Li J
•Sep 7, 2018
I love to learn this course, thanks professor Rundel, you have inspired me for statistics~
By Gustavo R d S
•Apr 4, 2022
Excellent course. It shows many concepts with examples and very well explained lectures.
By Robin M
•Jun 17, 2019
Great course, more difficult than the first module. The code was super useful to learn.
By Umair R
•Nov 21, 2018
Excellent teaching style with enough practice to get a good grip on whatever is taught
By Heungbak C
•Jun 6, 2019
Very useful and meaningful lectures!
I learned many things from this course.
Thank you.
By Andrea P
•Jan 8, 2018
Top teacher, very nicely and clearly explained! Very happy with what I have learned!
By Karel G
•Dec 5, 2016
Great tutorial! That feeling when everything just fit together and works well...
By Kevin L
•Jun 20, 2017
Excellent course, great videos and supplemental material was extremely helpful.
By Vikas J
•Jun 18, 2016
Simply Superb. Things are explained in such a clear manner with great examples.
By Nandkishore S
•Jun 12, 2019
seeking statistics inference through example in very convenient and easier way
By Kwokmun L
•Oct 19, 2016
Great material and wonderful instruction! One of the better courses out there.