Voltar para Bayesian Statistics: From Concept to Data Analysis

## Comentários e feedback de alunos de Bayesian Statistics: From Concept to Data Analysis da instituição Universidade da Califórnia, Santa Cruz

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## Sobre o curso

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses....

## Melhores avaliações

GS

31 de ago de 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

16 de out de 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

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## 226 — 250 de 761 Avaliações para o Bayesian Statistics: From Concept to Data Analysis

por Rodrigo G

16 de jan de 2020

Give you great insight. Very intuitive. Although we went through the last week rather quick (more explanation would have been better)

por Jenna K

13 de mai de 2019

The lectures are at the right pace; concise and challenging. Great examples. Thank you so much for providing us with great materials.

por Matthew S

5 de abr de 2020

Pretty challenging course. Well organized and well delivered. I learned from the exercises and also the feedback from the exercises.

por Dr. R M

15 de nov de 2017

Very informative and clear presentation of the material, which makes it fun and quick to learn the topics. Very good quiz questions.

por Xiaoyang G

7 de jul de 2016

This course is a very good introductory of bayesian statistics. But it better that you have known the basic statistics inference.

por Humberto R C

6 de nov de 2017

A clear and compact introduction. Quizzes and exercises are relevant. I got acces to grades and feedback in the audit one I took.

por Raj s

8 de fev de 2017

Learned something new :). Lecture were excellent, but, I need time to digest and hope I will get opportunity to use it in future.

por Tetsuhiko O

20 de jan de 2018

I studied basic theory from these lectures. I will try again and again until I understand Baysian Statistics concept completely.

por Felipe C

13 de dez de 2020

Quite interesting course ant not too long. I learnt many interesting and useful concepts in statistics. Highly recommendable.

por Jose M R F

14 de jul de 2019

Very well explained. Lectures are given in a very nice way as the professor writes. Exercises and quizzes are very well done.

por Zhirui W

26 de set de 2017

Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.

por Eduardo M

4 de jan de 2019

Very good material! The Prof explains very easily the contents of the course. Great course! I recommend. E. Martins, Brazil

por 王颖亮

5 de ago de 2018

The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.

por Salaheldin G

26 de dez de 2017

Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.

por Miles D R

15 de ago de 2019

This course was dense, concise, and yet easy to follow for individuals that are fairly comfortable with basic statistics.

por Francisco J S G

26 de ago de 2018

A really hard course but useful for those who want to know more about statistics and how it is related to Bayes' theorem.

por Álvaro Q A

27 de mar de 2018

It's a good introductory course to Bayesian statistics, a second part with Gibbs Sampling, Markov and MCMC would be nice.

por Jack

17 de mai de 2018

The teacher is excellent and charming and the course is also easy to follow. However, with more exercise will be better!

por Georgios P

24 de fev de 2017

Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.

por Shakir B

3 de ago de 2020

Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.

por Byzov A

27 de mai de 2018

Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course

por Flavio P

10 de ago de 2017

Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.

por kacl780tr

6 de jul de 2017

Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.

por 张宁

24 de set de 2016

This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.

por 郭冰

10 de mar de 2017

I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.