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!
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!!!
451 - 475 of 475 Reviews for Inferential Statistics
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 Chester J B C
•Sep 8, 2024
Good
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 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
neat
By JERALD P N
•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
•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
awful!!
By Raul R
•Dec 9, 2019
pesimo