Most of the courses of this specialisation (not only on prob) are VERY hard to follow. Instructors lack of passion while teaching and they just reading the script from the slides. Whatever I passed and learned was from random sources at the internet.

To the instructors: Take a blackboard and start solving the problems by hand. By reading a long queue of numbers from slides for 10min, the student can't follow at all. This is not a simple presentation, this is math topics. You can't just pass a slide full of numbers and some sentences thinking that the student can comprehend all that stuff.

On the other hand, on the 3rd party quizzes has been made a magnificent job.

While I imagine Alexander Shen to be a great person and a math genius, he seems entirely unprepared for the lectures. He speaks well, I can understand his accent, but his lack of preparation and poor slides make a difficult situation terrible. The other instructors do a much better job, but I also wish there were more tests of our knowledge.

Quite enjoyable, however Alex is not the strongest presenter though his passion is evident :)

Good first course in probability/combinatorics at the university level; last assignment had a lot more coding than other assignments, a lot more

Hard to understand lecturer

This course offers very detailed concepts of probability theory and helps students to think over real world scenarios where we can apply the magic of probability theory. One needs continuous study of the provided resources and notes to grasp the intuition of probability theory. As per what I have learned from this course is that probability theory is not only abstract mathematics with equations and formulas with tips and tricks rather how we interpret every single problem. Its really random in nature. Thanks to the teachers of these course for interpreting these complex concepts in a much easier and acceptable way.

Concepts are presented in such a way that a novice can understand easily. For an advanced learner, there are concepts that are lit from a different perspective. Not all the instructors are equally competent. Sometimes you have to watch the videos twice to get the full understanding. But that's worth of your time. Overall enjoyable. Programming practices are also good and of intermediate quality.

One of the best MOOCs I have ever taken! Very engaging instructors and good material. My only objection would be some more advanced lectures, as I really enjoyed the last one and the dice game, but still very valuable, especially if you want to brush up on combinatorics and probability or want to improve these abilities for programming, as the quizzes are challenging and well thought.

This course was really challenging. I feel like the final project was more difficult to program than to calculate so make sure you have a solid foundation in python. Also itertools is very helpful. The instructors were clear in the lectures and I felt like there was a good progression of exercises. I was really challenged by this course but highly recommend it.

It is a pretty good course. although I have learnt probability theory both in undergraduate and postgraduate level, it still gives me some inspiration toward probability theory. I love the examples given in the lecture, which are classical and typical enough. Some paradoxes examples help me to understand the probability theory better and clearer.

This course does have some coding challenges which are at the same time very interesting. Actually, I did not think much about combinatorics in terms of coding but this was a very nice opportunity to learn more about mathematical thinking for programming and problem-solving.

Clear and concise lectures, mixed with examples rooted in daily life makes this offering of the course one of the best courses for probability for the general audience. The instructors easily manage to convey and teach non-intuitive facts with ease. A must have.

Really nice introduction to discrete math and basic algorithms. The content is quite basic, but as mentioned in the syllabus is for beginners. Still, for those of you who are at that level is worth taking this specialization.

Thank you for your course. The content was engaging, teachers were great. I was doing last exercise for long 5 hours to realize there was a simple mistake in my code, pure pleasure, excellent

This course is a nice introduction to probability and give good ideas to make proof of combinatorics (the week 2 was the best), all of this give it in a nice an intuitive way.

Great course, lots of good info, not too long. Some of the coding assignments and quizzes are challenging, but the staff respond very quickly to questions in the forums.

Had loads of fun during most part of the course. Frequent quizzes keep the learner on toes. Thoroughly enjoyed the final programming quiz to implement a dice game.

I really enjoyed taking this course. The teaching was pretty good and some of the quiz questions will challenge you if you haven't done Combinatorics before.

The final project is hard for me cuz I don't have Python experience. and the logic is a little bit complicated. That's not for absolutely beginners!

informative material presented clearly and simply. I had studied bayes before and it was nice to get a concise review.

Fantastic course! Really like Vladimir Podolskii's explanations and sense of humor. Great dice game at the end!

This one is a bit more 'mathy' than the first one, it has a good pace and the exercises are really cool

A great course that is well organized. I love Professor Alexander Shen, because he makes me happy.

Content of this course is excellent. Basic Python programming skill is required for this course.

If you really want to have a greater grasp over mathematics, don't miss this course.