Voltar para Bayesian Statistics: From Concept to Data Analysis

estrelas

2,920 classificações

•

759 avaliações

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....

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:

por Chipo N

•31 de ago de 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.

por Marcin K C V P

•23 de set de 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.

por Chandanie N

•26 de dez de 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.

por Quinn

•18 de mar de 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.

por Clive S H

•15 de jan de 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

por Ying L

•3 de jul de 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.

por Danysh S

•2 de fev de 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 ^-^

por Alysa

•4 de jun de 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.

por Kelvin P

•4 de abr de 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.

por 来健 张

•30 de out de 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.

por Francisco C

•22 de set de 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!

por BaoYiping

•5 de set de 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.

por Ruoxiao S

•15 de ago de 2019

This class is pretty helpful for the beginners and the instructor has a clear organization of the lecture. The Quizzes are also a good way to know what you have mastered. I have a better and deeper understanding of the Bayesian Statistics now.

por Nicholas P

•13 de jan de 2018

Highly informative. Prof. Herbert Lee is a great professor providing very thorough notes and material for the Bayesian paradigm of Statistics. I would highly recommend this to any who are interested. It is also a great introduction to using R.

por Michail L

•4 de ago de 2019

It was an amazing course. Prof. Lee is an excellent teacher, the lectures were very interesting and illuminating, and the problems challenging and based on the material discussed. Highly recommended to get a basic idea of Bayesian statistics.

por Alexis U

•25 de jul de 2020

A good introduction to Bayesian Statistics. Not too deep, but you need to have some familiarity with probability notation. Also it seems it recently had some manteinance because broken links in lectures are now redirected to correct links.

por Jason R

•8 de abr de 2017

I found this course to be incredibly useful to learn Bayesian statistics and a useful guide for applying the information in r and excel. I would definitely recommend it to anyone interested in furthering their understanding on this topic.

por Juan J O O

•6 de jun de 2019

Excellent course. I learned late to use the note clipboard to take notes. At times the video lectures are hard to follow because the concepts are not easy. I had to watch the video lectures several times to fully grasp the concepts.

por Luca A

•22 de set de 2018

Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.

por Ayush T

•18 de fev de 2019

It's really a good course for Bayesian Statistics. Exercises are designed in such a way that they can't be passed if you've not understood the topic completely. The workload is manageable and the course content is really well organized.

por Ghanem w

•14 de fev de 2017

This course provide a very good understanding of the bayesian approach of the statistic. It is very accessible thanks to the learning material (pdf) provided before each lessons and which recall all the basis needed.

Thank you Herbie

por Syarif M

•2 de dez de 2016

Definitly the best statistic course for beginners with some mathematical knowledge. Love the way the videos are recorded (Transparent glass between the camera and teacher) it should be a standard for online course! thank you so much!

por Andre M P

•21 de jul de 2021

Great course. It gives you a nice view from Bayesian statistics and the understanding of priors, conjugates and posterior. Also great that it uses R for some practical coding (it also shows how to do in Excel, but R is much better)

por Howard H

•10 de abr de 2018

A very solid introduction to Bayesian Statistics. Lectures were sufficiently detailed and of excellent quality, and the problem sets supported and reinforced the material very well. I look forward to taking part 2 of this sequence.

por Muhammad Z R

•27 de mar de 2021

If variables be consistent throughout all lectures, it would be great.

Shirt color was matching at some instances due to which seeing notes on lecture board was difficult.

Examples and quizzes were quite helpful for understanding.

- Analista de dados do Google
- Gestão de projetos no Google
- Design de UX no Google
- Suporte de TI do Google
- Ciência de dados da IBM
- Analista de dados da IBM
- Análise de dados da IBM com Excel e R
- Analista de Cibersegurança da IBM
- Engenharia de dados da IBM
- Desenvolvedor de nuvem full stack – IBM
- Marketing em mídias sociais do Facebook
- Análise de marketing do Facebook
- Representante de desenvolvimento de vendas da Salesforce
- Operações de vendas da Salesforce
- Contabilidade da Intuit
- Preparação para a Certificação em Google Cloud: Cloud Architect
- Preparação para a Certificação em Google Cloud: Cloud Data Engineer
- Inicie sua carreira
- Prepare-se para uma Certificação
- Amplie suas qualificações profissionais

- cursos gratuitos
- Aprenda um idioma
- pythonpython
- Java
- web designweb design
- SQL
- Cursos grátis
- Microsoft Excel
- Gestão de projetos
- Segurança cibernéticaSegurança Cibernética
- Recursos humanos
- Cursos gratuitos de ciência de dados
- falar inglês
- Redação de conteúdo
- Desenvolvimento Web completoDesenvolvimento Web Completo
- Inteligência artificial
- Programação em C
- Habilidades de comunicação
- Blockchain
- Veja todos os cursos

- Competências para equipes de ciência de dados
- Tomada de Decisões Baseada em Dados
- Habilidades de engenharia de software
- Habilidades Pessoais para Equipes de Engenharia
- Habilidades Administrativas
- Habilidades de marketing
- Habilidades para Equipes de Vendas
- Habilidades de Gerente de Produto
- Habilidades Financeiras
- Cursos de ciência de dados populares no Reino Unido
- Beliebte Technologiekurse in Deutschland
- Certificações populares de segurança cibernética
- Certificações populares de TI
- Certificações populares de SQL
- Guia de carreira de gerente de marketing
- Guia de carreira de gerente de projeto
- Habilidades de programação em Python
- Guia de carreira de desenvolvedor Web
- Competências de análise de dados
- Habilidades para designers de UX

- Certificados MasterTrack®
- Certificados profissionais
- Certificados universitários
- Graduações em negócios e MBA
- Graduações em Ciência de Dados
- Graduações em Ciência da Computação
- Graduações em análise de dados
- Graduações em Saúde Pública
- Graduações em ciências sociais
- Graduações em gestão
- Graduações nas melhores universidades europeias
- Mestrados
- Bacharelados
- Graduações com uma trajetória de desempenho
- Cursos em Ciências (BSc)
- O que é uma licenciatura?
- Quanto tempo leva um mestrado?
- Um MBA on-line vale a pena?
- 7 maneiras de pagar pela pós-graduação
- Ver todos os certificados