Learner Reviews & Feedback for An Intuitive Introduction to Probability by University of Zurich

Instructor is simply awesome. The way lecture is delivered with superb examples. Its an excellent course and no one shoudl miss it.

I liked the instruction style and example used. Good refresher !

Amazing course to understand the nature of probability and its applications. Lecture delivery by Karl is fabulous and the efforts put in by Jose is highly appreciable. Hoping for an advance course.

A wonderful course for beginners in probability. Interesting problem set and exercises, especially the applications of Benford's law.

very good course.

This is not a math heavy introduction, but will walk you through probability with fun business applications.

Excellent! Excellent and simple. Simply excellent!

Really fascinating course very well done. I just loved it!

I value the real world approach.

very interesting way of teaching. Enjoyed the video's a lot.

I never thought probability could be interesting ! Great stuff.

A thoughtful and engaging course to help one think critically about probability without getting bogged down in too many maths details: really helpful.

Excellent. Very clear instruction with some very interesting real life examples. Course a bit basic for me. Wish there was a follow-up with more advanced material.

very usefull to develop intuitive skills about probaIlity, to understand beyond the rules.

Good introduction to key concepts. Wish I had taken this course before I had started other Stat Courses on Coursera.

I took a probability course almost 20 years ago, and it kinda vanished due lack of usage on my daily job. But as preparation for Data Science career path, I decided to take a refresh about it and found this course. I totally enjoyed it! Even when I may have preferred a little bit of additional theory and samples in Python (I come from CS ;-), I understand that the current format of the course reaches a much wider audience. This is one of those rare cases when abstract theory is smashed to the ground of applications, in a quite amusing way. Über-kudos for the Profr. and TA; they did an astonishing job and I hope they publish more courses in the future.

Nice course.

I wish this course never ends.

Good course

This is a superbly crafted course, as it truly gives an intuitive introduction to probability. You'll get a sense of how important a role this intriguing subject plays in the real world thanks to the inclusion of its applications.

One of the best MOOCs I've done. Prof Smedders is just excellent.

I want to thank and congratulate Prof. Karl, José and all the people involved in the development of the course for this incredible series. The lectures of Karl were outstanding, very clear, direct to the point, with concrete examples to erase any doubts. The exercises with José helped me reinforce the concepts learned with Karl, not to mention the real world applications (the most enjoyable part for me), which also were very interesting and were the main reason the course got me hooked.

To be honest, I had already taken a probability course many years ago but this was definitely better. Now I realize I hadn´t fully understood key concepts until now and I´m sure that in the future I won´t forget them easily.

If anything I would suggest adding another application to the Bayes´ Theorem: Bayesian Networks for Artificial Intelligence.

Thanks again and I really really look forward to take another course on a related subject with you guys.

Great course to refresh your memory on probability or for a beginner. Thanks Karl!

Excellent approach to explaining the theory. The emphasis on getting the fundamentals right was a welcome change from other similar courses which get into problem solving mode too soon without clarifying the basics. That being said the usage of multiple real world problems like Monty Hall, Prosecutor's Dilemma and the brilliant explanation for solutions helped me derive great clarity on key concepts. The best Coursera course I have encountered in a while.

I love probabilities now!