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Avis et commentaires pour d'étudiants pour Bayesian Statistics: From Concept to Data Analysis par Université de Californie à Santa Cruz

4.6
étoiles
2,915 évaluations
758 avis

À propos du cours

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....

Meilleurs avis

GS

31 août 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 oct. 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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276 - 300 sur 752 Avis pour Bayesian Statistics: From Concept to Data Analysis

par Edward B

24 nov. 2020

Excellent! Clear presentations, very bottom line up front with transparent examples, good course.

par Stephen S

9 juin 2019

I thoroughly enjoyed this course as I found it to have a good mix of background and application.

par Julio C L J

12 juin 2018

It was an excellent course. It´s a very good introduction to the Bayesian approach to inference.

par Sean E

12 mars 2018

Great introduction to Bayesian Statistics with some easy-enough-to-follow mathematical insights.

par Felix S

19 juin 2019

Great intro to Bayesian Statistics if you have some stats background in the frequentist domain.

par Duke W

3 nov. 2019

Excellent introduction to basic Bayesian analysis and coverage of conjugate priors/posteriors.

par Elibre

30 oct. 2018

Excellent course ! Full of examples and very useful to a deeper understanding of the domain.

par Mark C

12 mai 2018

The presentation was excellent. The quizzes were reasonable. This was a good use of my time.

par Kin H L L

14 mai 2022

Very nice explanation from mathematical concepts to actual application. Highly recommended.

par Kristy A G J

23 août 2020

For me, the course was well explain, the examples used help me to understand in a easy way.

par 杨铭宇

5 juil. 2017

A good course for introducing to Beysian pobability. Easy to understand and very practical.

par Jan-Willem v G

1 avr. 2022

​Excellent course. The course provides a solid base to build on. The teacher is very good.

par Eliott L

28 sept. 2018

Very clean and precise explanations as well as concepts explained under different paradigm

par Daniyar M

11 mars 2019

refreshed university materials and also gained deep understanding of probability theorems

par Igor K

29 mai 2017

Very gentle and at the same time mostly rigorous introduction into the Bayes probability.

par Daniel J R V

15 mai 2017

Great course. Delivers what promises: Bayesian Statistics: From Concept to Data Analysis.

par Bruno M

6 janv. 2020

I liked the way it was taught, It's nice for who is looking for to expand data analysis.

par Samrat S

7 juil. 2017

Awesome.. Good overview, but the concepts are much deeper, the second part is also must.

par Sariel H

25 août 2020

If the tutor could further clarify normal prior in Week4 Lesson 10, it could be better.

par Somnath B

26 nov. 2017

Very helpful and extremely educational. One of those rare courses I actually finished!

par Edit T

12 févr. 2017

A well-designed course with sufficient support materials and useful practice exercises.

par Deepanshu P

2 avr. 2019

Very well structured and informative content. Also the delivery of content is amazing.

par Chris

13 mai 2017

great course. gave me a much more intuitive feel and confidence for bayesian analysis.

par luiz.cunha@axa-im.com

21 mars 2018

A great course, very clear, well presented. Most of knowledge for the time invested