Learner Reviews & Feedback for An Intuitive Introduction to Probability by University of Zurich
About the Course
Top reviews
Superb course. I am very impressed with the way the faculty explained real world examples through the probability concepts. I wish we can have more courses from him on statistics and machine learning.
This course has made me fall in love with probability. Highly recommended for anyone who dislikes probability. You will end up loving probability later. Great instructor and quality lecture material.
326 - 350 of 424 Reviews for An Intuitive Introduction to Probability
By Ece Ö
•Thank you so much!
By Fei
•Very interesting !
By Valerii M
•Beautiful Course!
By stevencheng1982
•very good course!
By Vincent V
•very good course.
By claudia s
•Excelente course!
By Rebeca S O
•Very nice course
By ARIFUZZAMAN M
•Excellent!!!!
By Paul B
•I enjoyed it.
By HUEY C S
•Good course!
By Jaime E F
•Great course
By Amir Z
•Great course
By Robin C
•Wonderful co
By Komal S
•Nice course.
By WojciechŚwiderski
•nice course
By Yogesh
•Good course
By Georgia P
•Thank you!
By Sherif N B
•Thank you!
By MAURICIO W
•Brilliant!
By Sri R W
•Excellent
By Jayaganesh G
•The Best.
By Michael P
•Engaging!
By RAMAKRISHNA R
•Excellen
By 谭庭玺
•老师教的好
By Rick N
•This course contained useful information, but I disliked the corny, jokey style in which it was presented.
The quiz questions and answer choices were confusing and frustrating. I especially disliked the obscure cultural references, such as television shows or internet memes. There were also numerous typographical errors and grammar errors.
A good point was that numerous real-world examples were presented. A bad point was that several annoying, silly, and unrealistic toy examples were presented.
The content was useful, but I wonder how useful it would be to someone who has no prior statistical or report-reading experience. For example, some students may have never seen a p-value before, and the explanation provided may have been insufficient for them.
I also strongly object to the use of the term "hard variable" to describe a variable that is clinically important.
"Hard variables" are those that are quantified and objectively measured. "Hard data" are data that take on quantitative values, and this is not restricted to births and deaths.
"Quality of life" is often subjective, not objective, so I do not consider it to be a "hard variable", even though it is clinically important.
I am glad I took the course because the content of the course is important.
However, I did not enjoy taking the course. It left me with an unpleasant, frustrated feeling of belittlement. The professor seemed to speak to the students as if they were young children. I was puzzled at why the professor apparently did not take the material seriously.
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