Learner Reviews & Feedback for Inferential Statistics by Duke University
About the Course
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!
376 - 400 of 475 Reviews for Inferential Statistics
By EXAL G S
•Feb 16, 2017
Excelente
By Beatriz M A
•Aug 22, 2022
Excelent
By CABANGUNAY , M J (
•Apr 23, 2021
So great
By Alfredo J N
•Feb 10, 2019
Amazing!
By Raj K P
•Sep 18, 2017
good one
By gerardo r g
•Jul 22, 2019
awesome
By guangyuan l
•Aug 2, 2018
amazing
By Jeff G D
•Aug 10, 2016
5-star!
By Lerner Z
•Sep 17, 2020
Great.
By Abdul A
•Apr 7, 2023
well
By Lucia F M D C
•Jul 15, 2021
great
By Praveen S
•Jun 3, 2020
Super
By Charles G
•Jan 20, 2018
Great
By SEBASTIAN L N
•Nov 11, 2024
good
By Prince M R M
•Mar 26, 2024
NONE
By Raphael I F F
•Jul 14, 2023
okay
By Jenard J P P
•Feb 5, 2021
yeah
By Gonzalo C S
•Jul 24, 2016
Cool
By John C L R
•Apr 19, 2021
g
By Sanan I
•Jun 4, 2020
.
By Saravanan V
•Jan 31, 2019
-
By Radoslaw T
•Mar 18, 2018
O
By Emmanuel M
•Aug 18, 2020
Overall a great course. Very rich in material. I do not have a strong math or statistical background and i struggled a bit with the range and quantity of material presented. Hard work is surely involved, but it is ultimately rewarding. A word of caution : if you are taking this course standalone (or as part of Coursera's Data Science Learning Path like me) without taking the first introductory part, you will have to compensate a bit on the programming parts if you are new to R (luckily a lot of freely available instructional material is found on the web, and the professor herself offers a free statistics textbook with online R labs). Not a downside for me, as this course has made me discover this fantastic language which has taken a strong position besides my budding Python skills. Cheers!
By Wu X
•Apr 7, 2020
I gave this course 4 stars. The missing 1 star is because this course has no content about R (but it is in a specialization called "statistics and R"). This course is only about statistics and the videos and instructor is good. The instructor explained the complex concepts well. At the end of the course, you need to do a project with Rstudio. I had no idea how to clean and manipulate the dataset and I had to drop out this course for sometime and register an account in another online education platform for programming for R specifically and learn how to handle those string, manipulate the datagrams and tables and extract the data I need from a dataset with thousands of variables. And then I got back to this project with more confidence and finally finished that.
By Gabriel V
•Aug 1, 2022
It is a very interesting take on inferential statistics. The statistics is taugth at introductory level, using the book Open Statistics that has been introduced in the first course in the series. Regarding the software, the course continues on the use of R and the tidyverse. I understand pipes and are comfortable in R, but I think it may be a little bit confusing if it is your first rodeo with the software.
I'd recomend to include more resources about R in the course materials, or including those on the Open Statistics book. Also the book has many examples, but I would add at the end of the chapter a summary of the theory and formulas, since it is difficult to browse for refreshing the knowledge.