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Вернуться к Bayesian Statistics: From Concept to Data Analysis

Отзывы учащихся о курсе Bayesian Statistics: From Concept to Data Analysis от партнера Калифорнийский университет в Санта-Крузе

4.6
звезд
Оценки: 1,909
Рецензии: 497

О курсе

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....

Лучшие рецензии

GS

Sep 01, 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.

JH

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

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176–200 из 488 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Soonkyo J

Feb 18, 2018

The coolest part of this lecture is mathematical explanation of concepts, especially about conjugate priors.

автор: Gowri T

Feb 05, 2020

I liked the quizzes, detailed feedback. The lectures were a bit hurried, but a lot of good content in them.

автор: matthew

Jul 30, 2017

I strongly recommend this course. Clear structure and insightful questions. Thanks for instructor's inputs.

автор: KUMAR G

Feb 11, 2020

This course has well structured content. Quizzes are also designed in sync with the course. Enjoyed it!!!

автор: Valeth

Dec 13, 2018

The bite-sized arrangement of individual videos are very conducive for learning and self internalisation.

автор: Soren J

Jan 21, 2020

Excellent course. More R examples. Looking forward to see a course on pymc3 or Tensorflow probability.

автор: Xiao W

Apr 08, 2019

This is an excellent course but you will need background in calculus and some statistics to begin with

автор: Stephen S

Jun 09, 2019

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

автор: Julio C L J

Jun 12, 2018

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

автор: Sean E

Mar 12, 2018

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

автор: Felix S

Jun 19, 2019

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

автор: Duke W

Nov 03, 2019

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

автор: Arnaud D

Oct 30, 2018

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

автор: Mark C

May 12, 2018

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

автор: 杨铭宇

Jul 05, 2017

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

автор: Eliott L

Sep 28, 2018

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

автор: Daniyar M

Mar 11, 2019

refreshed university materials and also gained deep understanding of probability theorems

автор: Igor K

May 29, 2017

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

автор: Daniel J R V

May 15, 2017

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

автор: Bruno M

Jan 06, 2020

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

автор: Samrat S

Jul 07, 2017

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

автор: Somnath B

Nov 26, 2017

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

автор: Edit T

Feb 12, 2017

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

автор: Deepanshu P

Apr 02, 2019

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