Aug 31, 2017
Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.
Oct 16, 2020
An excellent course with some good hands on exercises in both R and excel. Not for the faint of heart mathematically speaking, assumes a competent understanding of statistics and probability going in
By Víthor R F•
Jan 12, 2018
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.
By xu w•
Sep 2, 2017
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.
By Tuhin S•
Sep 1, 2017
Great course with easy to understand examples. One can explore deeper into the world of Bayesian statistics after completing this preliminary course.
Sep 8, 2020
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.
By Yalong L•
Oct 10, 2019
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.
By Taylor J W•
Jan 1, 2018
Very good intro to Bayesian statistics. I only rate 4/5 because the second week was disproportionately more difficult than the other three weeks.
By Deleted A•
Aug 27, 2017
I've always found stats kind of boring but, the material covered in this course is invaluable. Dr. Lee presents everything clearly and concisely.
By Philippe B•
Dec 28, 2020
Great! Clear, systematic... but: requires a good basic knowledge of mathematics and lacks practical examples to illustrate the models presented
By Việt P H•
Jun 28, 2020
A nice course. I gave me a fundamental knowledge about Bayesian Statistics. The lectures are sometime a bit confusing but overall, it's great.
By Sydney W•
Aug 18, 2020
more examples of solving problems would have help. or having direct references to sources that explain the technical aspects of the material.
By Seth T•
Dec 11, 2020
The course could use slightly more explanation of how Bayesian statistics is applied to real world problems (vs. frequentist application).
By Massimo G•
Nov 17, 2019
Very good method and quality of teaching, I'd recommend more solved and commented exercises for each topic exposed, before each week test.
By Mitali Y•
Feb 28, 2023
Explained statistics very well. Felt a little rushed at the end. Still very informative and the quizzes help consolidate the learning.
By Xu Z•
Apr 7, 2017
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).
By Alex C•
Feb 17, 2020
The last section, normal data, which is very important, could have been instructed in a slower, less hasty way with more details.
By Björn A•
Jun 21, 2020
Great course to get acquainted with Bayesian statistics and inference. Just wished seeing a bit more of mathematical background.
By David L•
Nov 28, 2018
Need more information about linear regression, given material is not enough to understand topic and effectively find solution.
By Ethan V•
Nov 2, 2017
A bit dry overall, but I appreciate the rigor and precision, along with the practical examples in R. I learned a great deal.
By Sameer G•
Nov 4, 2017
Hi , this course opened a door for me in Data analysis. Very intuitive & must course for any person exploring data science.
By Jan J•
Aug 28, 2019
Good course, but it could really use some PDFs with lecture notes ( as in contents of videos, not supplementary material).
Jan 14, 2017
This course has given me some good new insights into perceiving data and has got me started nicely I am very great full.
By Leonardo G Z•
Jun 29, 2021
Overall the course is nice for the basics. However, I expected a little bit more coding and less mathematical formulas.
By Jakob L•
Mar 16, 2019
Good introduction and interesting topics. However, some of the model analyses are not appropriate and feels artificial.
By Rohit J•
Feb 4, 2018
As a graduate student pursuing Machine Learning, this was a great course for me to get introduced to Bayesian Models.
By Tommaso C•
Nov 23, 2021
Difficult to work on assignments because it was unclear how to implement the knowledge discussed during the lecture