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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: 2,344
Рецензии: 614

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:

351–375 из 607 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Andrei B

Aug 28, 2016

Great course ! Simple and clear !

автор: Hager A I M

Mar 25, 2019

Very informative and informative

автор: Electromagnet

Dec 24, 2018

Great introduction for beginners

автор: Rob C

Oct 12, 2018

Very well taught, thanks Herbie!

автор: Yitian L L

Jun 25, 2017

VERY INSIGHTFUL AND INSTRUCTIVE

автор: Mas N

Jan 18, 2017

Excellent ! Thank you so much !

автор: Borisov V

May 10, 2019

I like this course, thank you!

автор: Duc H N

Mar 11, 2020

Good introduction to problems

автор: Shailesh K

Mar 06, 2019

Nice Course, Good Instructers

автор: Zhen Y

Nov 02, 2019

Very good course! Thank you

автор: Takashi Y

Aug 18, 2017

This is a very good course!

автор: Mario C

Oct 28, 2016

Simple but well explained.

автор: Mohadeseh M

Apr 01, 2020

Very organized and useful

автор: César P O

Nov 19, 2019

It needs more examples

автор: peiyuan s

Sep 26, 2019

Really good! Thank you

автор: Mohini R

Aug 18, 2016

I enjoyed the course.

автор: Sergio G

Jul 25, 2017

Wow!!! it was great!

автор: Aleksander M

Mar 12, 2020

A very nice course

автор: Dave N

Oct 14, 2019

Good fundamentals.

автор: Susenjit G

Nov 23, 2018

Very Useful Course

автор: 思莹 王

May 08, 2017

It's very amazing!

автор: Roderick R

Apr 12, 2017

Excellent course!!

автор: Chiayu L

Dec 23, 2016

very great lecture

автор: Sanjay C

Dec 29, 2019

Very well taught.

автор: Steven G

Nov 20, 2019

Very good course.