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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
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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.

Фильтр по:

226–250 из 487 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Huaiqing C

Jan 20, 2020

Very good and very clear for me to begin with Bayesian statistics

автор: Eugene B

May 22, 2019

Excellent instructor and very helpful readings and assignments.

автор: Michael B R

Sep 30, 2017

Great course for an intro to the Bayesian statistical approach.

автор: sai s

Jun 13, 2017

Like the course. Learnt a lot. Was able to apply in real world.

автор: Derek M

Jan 10, 2018

Really good course. Exercises / quizzes are particularly good.

автор: Pawel P

Jul 22, 2017

Concepts explained very well, useful and informative examples.

автор: Cristina S

Jul 20, 2017

Great for understanding the fundamentals of Bayesian analysis!

автор: Xiaoyuan C

Sep 20, 2019

Very excellent introductory course for Bayesian statistics!!!

автор: Lau C

Apr 15, 2019

Super clear and easy to follow. Thanks for the introduction.

автор: Xiaopu L

Aug 19, 2018

Nice short course with very practical statistical knowledge.

автор: Ali B

Nov 26, 2017

The course is useful, especially for beginners in stat area.

автор: Felipe M

Oct 23, 2017

Very practical and insightful course. Strongly recommend it.

автор: Alexandre F G

Oct 24, 2016

Very thoughtful and deep, great learning experience, thanks!

автор: Joe N

Jan 22, 2017

Great course! Very concise, yet very informative! Go Slugs!

автор: Nathan A

Dec 19, 2018

A well-rounded introductory course in Bayesian Statistics.

автор: Baiyu L

Jan 27, 2020

explanation in details and nice supplementary materials

автор: Zotov A V

Nov 21, 2016

I want more practice programming tasks for this course.

автор: Sameen N

Feb 05, 2019

Thanks it was nice learning from wonderfu instructors.

автор: Nguyen Q V

Aug 21, 2017

It is the good place to start to learn Bayesian theory

автор: Lazaros S

Oct 04, 2019

Excellent and very helpful course. Highly recommended

автор: Cem T

May 11, 2019

It was a groundbreaking course. I highly suggest it.

автор: Gu F

Feb 16, 2017

amazing quizes, and you don't have pay to take them.

автор: A F

Apr 21, 2018

Great explanations, with detailed steps to follow.

автор: robert s

Dec 22, 2016

Instructor responds quickly to problems. Good job.

автор: JOSE F

Jan 18, 2018

Great explanations, and great reference material.