31 août 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.
16 oct. 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
par Medha A•
6 mai 2020
I thoroughly enjoyed the course. Honest feedback would be that the course should have included a coding assignment with a particular template. But all apart, it was a great learning experience. Thanks!!
par Fabian S•
17 févr. 2019
A great introduction to Bayesian Statistics. For some of the Quiz questions, it would have been helpful to get an error warning in case one might had accidentally used a comma instead of a dot notation.
par David K•
19 mars 2021
I realy helped to understand the concept of Bayesian Statistics and how to apply it.
I liked the approach from flipping a coin and learn and verify the steps to continous distributions and R simulations
par Raja F Z•
24 mai 2020
instructor style and way of delivering lectures is very interactive and made this course very easy to understand, wit even a little knowledge of probability. Tank you very much instructor and coursera.
par Shen A•
25 mars 2020
it is a wonderful course. In this course, I have learned some basic theories and concepts for bayesian statistics and also do some applications with R programming. Highly Recommended as a intro courses
par Alex T•
19 févr. 2020
Excellent first course in Bayesian statistics - definitely not too basic, but just at the right level that you can understand everything in the course without having studied Bayesian statistics before.
par Jorge V C•
1 juin 2017
A very complete and easy to follow course. It's very helpful for everyone who needs to work with data and has to take decisions about that. It also has examples in R and Excel. I strongly recommend it.
par Alexandre H d S•
13 juil. 2020
It's an amazing course, I strongly recommend. It was like a complementary course for the Data Analysis course of my university, giving a wide explanation over bayesian analysis. I'm glad to finish it.
par John H•
27 juin 2018
Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.
par Jose P C•
7 nov. 2017
I've learned how to process data and analyze data from studies, that's a wonderful ability I think everybody should try to learn in order to not get manipulated by the media. Thanks for this course!
14 nov. 2020
A very good introduction to Bayesian Statistics.Couple of optional R modules of data analysis could have been introduced . However, prerequisites are essential in order to appreciate the course.
par Huangzhao Z•
30 juil. 2021
Very inspirational! Strongly recommended! Bayes provides a new perspective to look at the data with uncertainty considered. This is interesting. Going to learning something about MCMC bayes...
25 janv. 2019
The course if very informative but some previous knowledge and understanding of basic statistics (e.g., distributions) is recommended to fully grasp the concepts delivered through the course.
par Jonathan H•
6 oct. 2017
This course is well prepared.
The videos are of high quality and the lessons are easy to follow.
I enjoyed the Honors content as well, that gives an extra challenge to those who want it.
par Ana E R O•
21 juil. 2020
Prof. Lee's approach is simple and intuitive. There are exercises throughout the videos, which help you make sure you and the professor are on the same track. I would certainly recommend it!
par Sudhir K P•
16 nov. 2017
This is first time exposure to bayesian statistics and I must say it has given me a different perspective to analyzing data especially when dealing with unpredictable data or unknown data.
9 janv. 2017
Very nice introduction to bayesian concepts and rationale. With this course I could understand why should I spend more time learning this technique (which I will definetly do on sequence).
par Burak U•
25 mai 2020
This was an invaluable learning experience. I was delighted to go through this learning.
I strongly suggest this course to anyone who wants to learn or refresh their statistics knowledge.
par Flavio L•
29 oct. 2016
Amazing course ! Excellent. Prof. Herbert has a great didactics, the material is clear and very well planned, including the assessments. Thank you very much. Flavio Lichtenstein (Brazil).
par Ming L•
6 mai 2018
I like the course and how the questions are designed. I wish it can be accompanied by a booklet of transcripts of some sort. Videos are good, but so are traditional reading materials.
par Sanjiv P•
22 nov. 2020
Very insightful. I'd recommend this course to anyone who wants to learn how to adjust a model after observing data. Test questions were quite practical modeling real world scenarios.
par Manos T•
19 juil. 2017
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.
par Magdalena S•
7 déc. 2016
One of the best courses I took to date. Paralleled only by ML (by Andrew Ng). Non-trivial assignments, focused on practice, well-explained concepts in readings. Truly impressed.
par Oleksii N•
25 août 2020
The best course for beginners in Bayesian analysis! But some knowledge of frequentist statistics, distributions (Exponential, Poisson, Normal, Bernoulli, Binomial) is required.
par Jaime E A•
7 mars 2019
I recommend this course for anyone interested in learning Bayesian statistics: You can start here. It covers the core concepts as well as some computations using R and Excel.