Un curso muy bueno, sobre un enfoque de la estadística que desconocía. Además de reforzar muy bien las cosas que ya sabía y darles ese enfoque Bayesiano. Me gusta que todo se resume en la importancia de la probabilidad condicionada, ya que el teorema de Bayes conjuga las probabilidades inversas.

Good to learn or re-learn the basics of statistic and probability, and as a foundation for learning maximum likelihood methods (which are much more useful later on). The material is digestible, to the point, and the quizzes are helpful in checking your understanding and information retention.

This is an absolutely fantastic course for anyone interested in Bayesian Statistics. It is certainly not an easy course to cruise through and I highly recommend thoroughly experimenting with the concepts taught in the videos. I had a great time learning from Prof. Herbert Lee, he is amazing!

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.

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!

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).

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.

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'.

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".

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!

Instructor teach very good. Quiz are enjoyable to do. Some questions need think a little bit but it feel good after getting it right. The questions are not boring, but also not unnecessary hard. The questions are required part to learn the bayesian statistics by applying it.

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.

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.

Interesting, challenging and well taught course. It shows the difference between Frequentist and Bayesian approaches to statistics, then moves to discuss prior and posterior distributions. That was really interesting. Also, the complementary materials are of good quality.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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 ^-^