I truly appreciated the time that has been put into creating this course. However, it is very important that the course organisers improve it. Four years have passed and the course is still full of computation errors. This makes the process of learning frustrating and dissapointing. Furthermore, the video explanations are also rushed and difficult to follow. I would suggest to anyone thinking of taking this course to pursue a course from another institution instead.

I managed to complete this course, but it took about 3 months. That was because I read an another Stats ll book for the last 4 weeks rather than revisiting the lectures of this course. The lectures are too much condensed and there are some typos that made me confuse a lot... I like the challenging exams, but the lectures themselves should be improved.

The course moves very fast and it feels like many of the topics are only touched on surface-level. I used the course videos in combination with the Andy Field textbook as well as notes I found online for the University of Groningen, These added far more depth and understanding to the learning process.

Extremely difficult course. I felt so discouraged during this course, I wish that at least we had explanations why something was incorrect in the quizes.

Compared to previous courses in this series, I felt this course did not provide enough detailed examples of how to calculate the test statistics.

This Course did not meet my expectations, which were fairly modest to begin with: all I wanted was to learn a bit more about Inferential Statistics. Instead, I got nothing from the course, apart from a short introduction in R (this was the only good thing about the course and the reason for the 1 star). The course structure seems logical, but the way the lessons are made is really bad. Videos are short and lack any explanation whatsoever (this is the whole point of a lecture - to explain!). Anyone who is doing this course is already at a computer and can google any formula for any of the presented concepts. What I wanted to see is a good explanation of why we use the said formula. Unfortunately, the course doesn't offer any. The quizes at the end of each week do not give explanation for the wrong answers. There is no way for a student to understand and learn from failure. It's strange that the course has such a good rating on Coursera, when most of the course's forum is filled with messages from frustrated students, who have similar complains as I am. The course may be suitable for someone who already knows these topics very well and only wants a certificate. For someone like me, who actually used all these tests in practice with statistical software, but wanted to understand the reasoning behind the tests and formulas, this course is a waste of time. That is my biggest regret: I wasted a lot of time without learning anything.

the content is too rich, and the explanation is too little. The no-feedback exam is misleading, difficult to pass. The course staff is not that helpful.

A couple of results in Q1 directly contradict the theory. Course is quite unreliable.

Week 5 and 6 were absolutely confusing with missing instructions and errors

Too difficult questions and quizzes! Too many calculations to do!

Too hard to understand for a non-technical person like me!