Learner Reviews & Feedback for Inferential Statistics by Duke University
About the Course
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!
LD
Apr 28, 2020
This has been the second course in this specialization and things are going smoothly.The greatest thing is the final projects which give us freedom on what we want to figure out with given data set.
151 - 175 of 483 Reviews for Inferential Statistics
By Jalal A
•Mar 8, 2018
If you want to learn inferential statistics and get a clear understanding of the mechanics inside it, dive right into course.
By fanjieqi
•Nov 27, 2017
So appreciate to the teacher. And I'd like to use the method I learn from class, to solve my individual study of statistics.
By Saiful S M S
•Jan 10, 2017
Clear & concise; maybe could expand or give alternative R packages to practice on that can be used in inferential statistics
By shaghaiegh s
•Aug 14, 2016
I am eventually understanding statistical concepts, and realizing delicate differences between similar concepts and methods.
By JUAN S P P
•Jul 5, 2021
I've learned a lot in this course, the videos and examples from the book are interesting to wide my knowledge in inference.
By BULUAG, M K (
•Jul 16, 2020
This site have a big advantages to us especially during these days we have difficulty in learning despite of having covid.
By Heloísa D F
•Jan 25, 2021
This course is great. I recommend it specially for those who have a hard time understanding the central limit theorem.
By Daniel C
•Mar 19, 2025
Lesson are delivered in a simple and clear manner that can be understood by people with zero statically knowledge. 👍
By Paul J
•May 4, 2024
If you take this seriously and work hard, this is a fantastic course covering fundamentals of statistical inference.
By Guillermo U O G
•Sep 3, 2018
I really enjoyed this course, also, I would like to highlight the recommended reading material: it was a good book.
By Amruta G
•May 22, 2019
It's a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.
By Eduardo
•Feb 7, 2020
Great course. I think questions could be harder, but overall I learned a lot, especially with the final project.
By Joseph A
•Jan 10, 2021
I learned a lot through this course. I learned more by doing the week 5 project. Very useful methods and tools.
By Galin D
•Mar 18, 2019
Very relevant to modern day needs of a data scientist/statistician. Easy to understand as a relative beginner.
By Samyak N
•Jul 16, 2020
The course is well organized and everything is explained really well. Moreover, the instructor is really nice
By Mit P
•Jul 8, 2019
Great learning experience. Very well crafted course. Thank you Dr. Rundel and the entire team of instructors!
By Vijay P S
•Sep 2, 2017
This course is well taught with great examples, I personally learned how to infer the things out of the data.
By Abdulmohsen A
•Oct 27, 2016
Excellent course. Highly recommended if you would like to learn inferential stat and the intuition behind it.
By prakriti p
•May 25, 2020
Tough subject. The quizzes and labs especially the peer assignment helps bring the entire picture together.
By David B J
•Jun 21, 2019
Very nice job of explaining the material. I love the diverse set of examples used in the lectures and labs.
By luis m
•Aug 14, 2018
Well structured and excellent course. Has many examples and provides detailed explanations. Very well done!
By Toan L T
•Nov 30, 2018
Yet another superb course in this specialization.
Be ready to spend lots of time and learn lots of things.
By Artur I
•Sep 2, 2020
GREAT - absolutely loved this course - complex issues of inferential statistics made and explained easy!
By Stella L X T
•Jun 18, 2020
The data analysis project at the end really ties everything in and was at the perfect length! Thank you.
By Luis S
•Dec 1, 2018
It was a great course, one of the best things was the R programming for statistical test and inference.