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!
By Anna D
•May 22, 2017
I loved this course. As with the previous course a lot of things that weren't clear to me before are now. I totally recommend it to anybody new to statistics or anybody who is struggling with statistics (like I have for a very long time).
By Robert S
•Dec 27, 2017
Very good material which gives practical knowledge supported by interesting examples. The only concern is that it is slightly shallow - lacking some mathematical justification for the given "rules of thumb" and theorems.
By Farsan R
•Sep 29, 2016
Very good introductory course for inferential statistics. It is wise to complete the first course Introduction to Probability and Data of this specialization before enrolling into this one to grasp the concepts.
By rob p
•Aug 27, 2018
This course seemed unbalanced compared to some of the other courses and was very work-heavy. I felt it could have, or maybe should have been broken up into two courses, or that other courses should be longer.
By George P
•Jan 8, 2021
The final project does not help, for example someone used discrete data 1,2,3,4,5 .... ,40 to compute a p.value as if it was normal. It is too general and does not fill the purpose of the course.
By Koo
•Nov 8, 2020
I love this course. But I have a little bit hard for using the R program. If there is more instruction about using the R program, this course would be a lower hurdle for users likes me.
By Amit C
•Feb 18, 2019
The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided
By Zhang Q
•Nov 23, 2018
Very useful course about statistics. May need some fundamental understanding of statistics before, but through the clear explanation and examples, I've learnt a lot from this course
By greena m s
•Jul 30, 2020
This is a wonderfully curated course if u follow the readings and practise suggestions. But the main issue is the R programming. It needs better practise than suggested readings.
By MEKALA S N
•Jun 10, 2020
Very good course on basic understanding of inferential statistics. Instructor was very clear in delivering the content. The lab work is very helpful in developing R knowledge.
By Paul N
•Aug 17, 2016
The teaching is good, the course is a little heavy and a lot to take in in the later weeks. But, as a further grounding for statistics and R, I would very much recommend it.
By Adara
•Oct 17, 2017
It is a very nice course, I have learned a lot. However, it is convenient to take the previous one of the specialization, as they base some examples or R knowledge on it.
By Stefano
•Jun 17, 2020
Without a background in confidence intervals and hypothesis testing, I think that it would be very difficoult to understand these concepts in those few videos.
By Abiodun B
•Mar 27, 2017
This course gave me the toughest time of my life. I did the course for 3 months, i failed project once but i thank God, i proved toughest by passing with 100%.
By Sergio E
•Jan 4, 2019
The inference function and hypotheses tests are really useful. Permutation tests need more explaining and examples; otherwise they should not be included.
By Aaron M
•Nov 28, 2019
A good course for learning statistical inference, though I found that more than a week per module was required to really absorb the content.
By dumessi
•Aug 13, 2019
It is a great course, while some underlying logics are not clearly explained. And the quiz has some unexplained context, which is confused.
By Lucia M
•Apr 23, 2020
It was a very interesting and useful course. To improve it a little bit, I would focus more on the use of R to do different analysis.
By Janusz P
•Apr 29, 2018
I liked this course because it gives basic ideas how inferential statistics works, without going into mathematical details.
By Peter C
•Nov 18, 2018
I thought this course did a great job of incorporating R code into the lecture and hope that continues in future courses.
By Rohit D W
•Aug 14, 2020
An Introductory course with a lot of examples and a project at the end to furnish your concepts and knowledge.
By Richard M
•Mar 8, 2019
Generally a great course, but would benefit from a better explanation at times of how to use R effectively.
By Markus K
•Aug 18, 2017
Good videos, good book with exercises but many useful functions in R were not introduced (e.g. t.test()).
By Kirran R M R
•Sep 6, 2018
More detailed answers on Quiz questions and some more explanation on R codes will help a lot
By Mikhail I
•Jul 16, 2020
good course overall. Would love to see more math exercises rather than wording of problems.