It is interesting learning the mathematics behind the analysis, but it could have been more complete, with a little less theory and more data analysis.

this is a very good introductory course on Bayesian Statistics. Thought you will not learn deep from this course, it will give you a good big picture.

Great course with easy to understand examples. One can explore deeper into the world of Bayesian statistics after completing this preliminary course.

All the weeks were great, but the week 4 seems to be in complete and lack of explanations. Some refinement on the week 4 materials would be great.

The first question in Week 4 Honor Quiz, the coefficient for intercept, I got 138 which you show incorrect, would like to know the correct answer.

Very good intro to Bayesian statistics. I only rate 4/5 because the second week was disproportionately more difficult than the other three weeks.

I've always found stats kind of boring but, the material covered in this course is invaluable. Dr. Lee presents everything clearly and concisely.

Great! Clear, systematic... but: requires a good basic knowledge of mathematics and lacks practical examples to illustrate the models presented

A nice course. I gave me a fundamental knowledge about Bayesian Statistics. The lectures are sometime a bit confusing but overall, it's great.

more examples of solving problems would have help. or having direct references to sources that explain the technical aspects of the material.

The course could use slightly more explanation of how Bayesian statistics is applied to real world problems (vs. frequentist application).

Very good method and quality of teaching, I'd recommend more solved and commented exercises for each topic exposed, before each week test.

Explained statistics very well. Felt a little rushed at the end. Still very informative and the quizzes help consolidate the learning.

Very concise and easy to follow to the end. The linear regression part could be more clear (i.e., with a lecture on the background).

The last section, normal data, which is very important, could have been instructed in a slower, less hasty way with more details.

Great course to get acquainted with Bayesian statistics and inference. Just wished seeing a bit more of mathematical background.

Need more information about linear regression, given material is not enough to understand topic and effectively find solution.

A bit dry overall, but I appreciate the rigor and precision, along with the practical examples in R. I learned a great deal.

Hi , this course opened a door for me in Data analysis. Very intuitive & must course for any person exploring data science.

Good course, but it could really use some PDFs with lecture notes ( as in contents of videos, not supplementary material).

This course has given me some good new insights into perceiving data and has got me started nicely I am very great full.

Overall the course is nice for the basics. However, I expected a little bit more coding and less mathematical formulas.

Good introduction and interesting topics. However, some of the model analyses are not appropriate and feels artificial.

As a graduate student pursuing Machine Learning, this was a great course for me to get introduced to Bayesian Models.

Difficult to work on assignments because it was unclear how to implement the knowledge discussed during the lecture