The lectures are at the right pace; concise and challenging. Great examples. Thank you so much for providing us with great materials.

Pretty challenging course. Well organized and well delivered. I learned from the exercises and also the feedback from the exercises.

Very informative and clear presentation of the material, which makes it fun and quick to learn the topics. Very good quiz questions.

This course is a very good introductory of bayesian statistics. But it better that you have known the basic statistics inference.

A clear and compact introduction. Quizzes and exercises are relevant. I got acces to grades and feedback in the audit one I took.

Learned something new :). Lecture were excellent, but, I need time to digest and hope I will get opportunity to use it in future.

I studied basic theory from these lectures. I will try again and again until I understand Baysian Statistics concept completely.

This is an incredible course! It's not easy at all, but it's worth it. I easily followed all the coding exercises with Python.

Quite interesting course ant not too long. I learnt many interesting and useful concepts in statistics. Highly recommendable.

Very well explained. Lectures are given in a very nice way as the professor writes. Exercises and quizzes are very well done.

Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.

Delivered at an appropriate pace with an optimal mix of explanation/discussion, derivations and practical data applications.

The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.

Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.

This course was dense, concise, and yet easy to follow for individuals that are fairly comfortable with basic statistics.

A really hard course but useful for those who want to know more about statistics and how it is related to Bayes' theorem.

It's a good introductory course to Bayesian statistics, a second part with Gibbs Sampling, Markov and MCMC would be nice.

The teacher is excellent and charming and the course is also easy to follow. However, with more exercise will be better!

Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.

Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.

Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course

Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.

Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.

This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.