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.
I really enjoyed this course. The explanations are clear and, as suggested by the title, the lecturer uses intuition and daily-life examples rather than abstract and formal definitions and notations.
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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.
By Emanuele M•
Very enjoyable and interesting introductory course to probability. The first part is very easy to follow, but I feel that starting from week four there is a decisive gap in the material difficulty(due to heavy notation). Anyway the teacher expectations seem low and the exercises and tests are too easy. The course is accompanied by a well detailed(but not very well edited) PDF. Overall a nice and fun introductory course, with a decisive lack in exercises and tests(the in class quiz are self-evident- the exercises are already solved by a tutor), which I found better developed in another similar and almost complementary course, Data Science Math Skills.
By karthik K•
I wish i had taken this course 15 years ago ie during my school days which would have made my life lot better :) It has given a strong fundamental understanding of the key concepts in probability. More difficult and varied exercise problems would have helped to deepen my understanding more. Nevertheless, truly worthy and fun time spent learning P. Thanks a lot Karl, Jose and all the other people for putting together this wonderful world class course together and truly making knowledge accessible to everyone.
By Radka P•
It's very good course on introduction to probability. The lectures were taught very clear and comprehensibly. To finish this course you must complete all quizzes on 100 %, and sometimes it can be very tricky. For better understanding I would appreciate, if there were more exercises that I have solve myself. Although I think the quizzes following the Jose's lectures were unnecessarily easy, because the questions and answers in the quizzes were the same as were taught in the lectures.
By Xi W•
I very nice course overall. I would recommend it to others. I few minor things that didn't give it a five stars. First, there are some minor errors in the videos that haven't. been fixed over the years. Second, the instructor and the TA are not available in the discussion forum. The instructor for the Calculus course on Coursera was very interactive in the discussion forum.
Again, I still think it's a great course and thank you very much for providing it.
By Hosein N•
In comparison to other similar courses available at coursera and in terms of the course design and structure, content and the extent to which the topic of Stats and Probability at intro level is covered this course also covers it quite well, but more explanations on wk 5 content was needed as there seems to be a sense of rush to roundup and finish the course at the end. All in all, great for kickstarters!
By Amrendra P S•
This course will give you an introduction to probability instead of deep knowledge or concepts. For beginners, this course is better but if you had done any course in probability then this will not be much beneficial for you. Course content if prepared and structured well, examples give you the real-life implementation but assignments are very easy and don does not cover the entire portion of the course.
By L H•
Professor Schmedders is very passionate about the subject, and his passion is evident through the lessons. I especially enjoyed learning about the real world applications of probability. My only grouse is that Professor Schmedders did not go into greater depth about the various topics. Hopefully there will be a second part to this course that explores the topics in greater depth with more mathematics!
By Vladimir L•
Down to earth explanation of probability basics, explanations are clear and mostly intuitively understandable. Great examples of Excel use for different probability tasks resolution. However use of Normal distribution Excel functionality is not needed when explaining 5 coins toss. It is more intuitive to show it using combination formula.
By Max G•
An interesting course in probablity and statistics. In some cases the equations given are not explained clearly enough. I would have preferred a demonstration of how the equations were actually derived, but perhaps that was beyond the scope of this course.
By Ibrahim N•
A very good course, especially if you are interested in the applications of probability theory. The title fulfills itself and this course is kind of an alternative approach to the very popular problem: how to understand probability theory in a better way.