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

4.6
estrelas
2,932 classificações
762 avaliações

## 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

Filtrar por:

## 151 — 175 de 755 Avaliações para o Bayesian Statistics: From Concept to Data Analysis

por Jose P C

7 de nov de 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!

por kabonline09

14 de nov de 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.

por Huangzhao Z

30 de jul de 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...

por Yiwen

25 de jan de 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.

por Jonathan H

6 de out de 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.

Thanks!

por Ana E R O

21 de jul de 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!

por Sudhir K P

16 de nov de 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.

por Gabriel

9 de jan de 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).

por Burak U

25 de mai de 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.

por Flavio L

29 de out de 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).

por Ming L

6 de mai de 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.

por Sanjiv P

22 de nov de 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.

por Manos T

19 de jul de 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.

por Magdalena S

7 de dez de 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.

por Oleksii N

25 de ago de 2020

The best course for beginners in Bayesian analysis! But some knowledge of frequentist statistics, distributions (Exponential, Poisson, Normal, Bernoulli, Binomial) is required.

por Jaime E A

7 de mar de 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.

por Deepak K

17 de set de 2017

Very well structured course. Problems and quiz are real life problems, and it's challenging and rewarding to solve them. Thanks to Prof. Lee for delivering an awesome course.

por Enrique s c

11 de nov de 2020

La explicación del material y lecciones fueron excelente. El contenido me agrado, aunque mi recomendación sería que fuera un poco más formal las definiciones. Lo recomiendo.

por Ignacio S

13 de mar de 2018

Very useful course to get an understanding of the ideas behind Bayesian statistics and Bayesian inference. Not your course if you are looking for applied Bayesian inference.

por Jian C

21 de set de 2020

I really enjoyed this course. The instructor explained the concepts concisely and clearly. The information was useful, the supplementary materials and quizzes were helpful.

por Mohan N

3 de mar de 2018

Alot of information, concise and clarity is awesome. Would recommend this course to anyone. And I did too. Great, professor. My only suggestion is to speak a little slower.

por Timo K

13 de mar de 2019

Very good overview to the area. Efficient and clear lectures - emphasis on the quizzes that required just a proper amount of focus and time from my personal point of view.

por Maurice

27 de abr de 2020

Presenter is awesome. Just the right pace - and very clear. Material is well thought of.

Only latex formula's don't show up that nice in Chrome... Had to switch to Safari.

por Julian R S

15 de nov de 2017

A great introduction to bayesian statistics. I warmly recommend this course to those already familiar with the frequentist approach and willing to expand their knowledge.

por Dariia V

7 de mai de 2019

simple, clear and enjoyable. will take the second course in the series, then move to heavy literature on the topic.

Special thank you to the instructor! you are amazing!