GS
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.
JB
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 Devesh S
•Jun 30, 2017
A well organized course, learned important concepts in statistics and probability that will definitely help anyone wanting to specialize in machine learning or take up data science. Clear and concise explanation of theory focusing on application that is adequately tested in the exams.
By Manuel M S
•Apr 29, 2020
An excellent course on the basics of Bayesian approach to statistics. It has excellent explanations, from the concept to applications and allows gaining understanding both on the basic underlying ideas, as well as a deeper insight on Bayesian methodologies. I definitely recommend it!
By Xiaomeng W
•Dec 13, 2019
I've reviewed probabilities and basic Bayesian methods in this course. The quizzes have good explanation and the additional reading materials are helpful. I'm learning the next course: Techniques and models, which is also great (except that we don't have free access to the quizzes).
By Sujith N
•Feb 24, 2018
As a primer to Bayesian Statistics, this course covers the basics at a brisk pace. No time is wasted in explaining the basics of Probability theory; which I have always found, at best, to be distracting in the other similar courses I have taken. Thank you, Herbert Lee and Coursera.
By Mikhail G
•Jun 6, 2020
An interesting course which gives an opportunity not only to study some purely 'technical' skills but also to think a bit about statistical problems in a broader context. It won't make you 'Bayesian', however, it will help to understand the philosophy of this statistical 'sect'.
By liqul
•Apr 27, 2019
There are books and courses out there teaching you how to use machine learning tools to solve real problems. But there aren't so many like this starting from the Bayesian way. Besides, this is a good entry point for me to read the book "Pattern Recognition and Machine Learning".
By Eric L
•Jun 13, 2020
I have signed up for this course because I encountered Bayesian concepts through work (automotive industry), and I wanted to improve my understanding of the underlying basics. What can I say, my expectations have been met! Thanks for offering this course through this platform!
By Angelo F
•Jan 8, 2017
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.
By Christos H
•Jan 8, 2021
Great course. Very clear introductory overview of Bayesian statistics and differences/similarities with the frequentist approach. Well balanced between video lectures, support materials, quizzes and hands-on problems. Looking forward to the next step - hierarchical models.
By Quek J H
•Jan 21, 2024
I have learned a lot about the basics of Bayesian statistics and Bayesian inference. But please note there are a lot of practices and exercises in this course! Prior (pun intended) knowledge of calculus and basic mathematical statistics will help you a ton in this course.
By Sheref A
•Jan 22, 2024
When I started this module, especially in the first week, I was unsure about the quality of the course. However, I feel fortunate that I didn't give up and persisted until I finished it. I now believe it is an excellent course, and the instructor did an exceptional job.
By chipo n
•Aug 31, 2020
It's quite a challenging and informative course. I don't regret taking it it has opened up my mind to Bayesian statistics especially that this is the pass I want to take in my life. Thank you for the support and opportunity given to me. i will forever remain grateful.
By Marcin K C V P
•Sep 23, 2017
I took this course due to my interest in machine learning and graphical models. I like the approach and execution. I recommend it for anyony interrested in statistical inference. Some topics require looking up external sources, like wikipedia, but it is not an issue.
By Chandanie N
•Dec 26, 2020
The course was excellent. The concepts were explained very clearly and were supported with well suited quizzes and applications. The course definitely created an interest in learning further in Bayesian Statistics. The instructor was very clear in presenting theory.
By Quinn L
•Mar 18, 2017
This class is very much an intro, so if you're looking for advanced topics you it might not be challenging. But this is a really good intro. The lectures are good and the supplemented material is great. I wish there was more R, but I'm very happy with the class.
By Clive S H
•Jan 15, 2018
Interesting, challenging, informative, entertaining, Herbie Lee is an excellent presenter of a very well prepared introduction to what seems to be a more rational and coherent approach to extracting, understanding and evaluating quantative information from data
By Ying L
•Jul 3, 2017
It's a great course to understand the fundamentals of the Bayesian Statistics. The easy quiz which meant not to deter the students could be improved a bit. For serious learning, reviewing the questions in honor sections and the supplemental materials is a must.
By Dongliang Z
•Dec 15, 2022
Excellent course! All the formula is scary in Bayesian Statistics, howerver the professor made it not so hard to understand. The interpreation of the formula is good. The assignments and exercises are very helpful. The R demostration is extremely helpful.
By Christopher S C
•Jun 14, 2023
This was an outstanding and challenging course. The information was presented in a clear and concise manner, and the supplemental readings and quizzes, reinforced the learning. I also enjoyed learning basic R programming and advanced Excel functions.
By Danysh S
•Feb 2, 2021
This course really put into perspective the different approaches of statistics, and how each of them are so valuable. With the aid of the readings given before the lectures, Sir Herbert Lee made the "scary" Math of statistics a little less scary ^-^
By Alysa
•Jun 4, 2017
This is a short course and it was a great introduction to Bayesian inference. Lessons went through both theory and application. I found the videos easy to follow and that they prepared me for the quizzes. I also really valued learning how to use R.
By Kelvin P
•Apr 4, 2017
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.
By 来健 张
•Oct 30, 2021
Excellent course with lots of facinating exercises of real world applications! Learning from doing!! Can't love the course more!!
However, the difficult part was left with no explanation. But this is helpful for the starter of baysian statistics.
By Francisco C
•Sep 22, 2017
Excellent introduction to Bayesian inference. Dr. Lee struck an exceptional balance between presenting concepts and ideas with self-learning through the homework quizzes. I look forward to learning more analysis techniques in subsequent courses!
By BaoYiping
•Sep 5, 2016
it's very helpful for me to understand the Bayesian statistics. things are clearly stated and the quiz are good. Many thanks! It's better to have a further course on the Monte Carlo. It's better if the regression can be talked more in details.