学生对 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: From Concept to Data Analysis 的评价和反馈

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

Very good introduction to Bayesian Statistics.

Excellent introductory course to bayesian statistics. I'd like to thank Professor Lee, University of Santa Cruz, Coursera and all supporting staff for the opportunity. I'd enjoy if you provided intermediate and advanced courses on bayesian statistics that covers more topics.

I followed this class with a great enthousiasm. It was very clear and pedagogical !

excellent

I loved everything about this course. It reminded me of my time in school. Papers and pencils. I look forward to attending the follow up course.

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

An excellent introduction to Bayesian Analysis with some practical examples and applications. The lessons serve as a solid foundation towards understanding the philosophical underpinnings of the Bayesian approach to decision analysis under uncertainty. Thanks to Prof Herbert Lee for making the easy to understand without sacrificing rigour.

A great introduction to bayesian statistics. I warmly recommend this course to those already familiar with the frequentist approach and willing to expand their knowledge.

Very nice course that in my opinion nicely fits between Bolstad and Gelman in difficulty (talking in popular Bayesian Data Analysis books). Herbert Lee does a very good job at building one's intuition and understanding in the general Bayesian inference. Good starting point for moving on with Bayes.

Exceptional course on probabilities and statistics from a Bayesian point of view. I would recommend this course to anyone wishing to learn more about probabilities and statistics.

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

Great course! Well explained with useful additional material. Strongly suggested.

Just an introduction to the topic but very clear.

Good course. This course is quite challenging for people who don't major in math or physics. However, it isn't so difficult to understand as the post half of this course has a lot in common. In my experience, understanding the concept of priors and posterior estimation is the core of this course. Have fun learning this course.

I really like the assignments, they are very well designed and helped a lot in consolidating my understanding of the topic. In my opinion, these assignments are the reason why coursera courses are better than the video lectures available elsewhere.

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

Herbert Lee's Tests are fun (Best!) to learn during the test! Lectures are succinct; Format of writing on the glass towards you and then flipped was right & original. Went on to try Kaggle problems independently. For usable feedback need tiny bit more on Poisson, Gamma, non conjugate intuitively & darker shirts as background.

A step by step course, designed to pay attention all the time with tons of practical examples and very clear explanations, I would definitely recommend it!!

I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.

This course makes a lot of details clear to me. Thanks professor for this great course.

I still have one question, is the professor writing on a transparent board in inverse pattern? The technique is amazing!

Best course yet!

Good intro to Bayesian statistics

Super clear and easy to follow. Thanks for the introduction.

This course is great! Very clear, very professional, and lots of useful content!