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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: 2,680
Рецензии: 699

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
31 авг. 2017 г.

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 окт. 2020 г.

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

Фильтр по:

376–400 из 686 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Anuj M

15 мая 2020 г.

Excellent content with great exercises

автор: Bijit D

20 сент. 2017 г.

A great course on Bayesian Statistics.

автор: Luis R P L

24 апр. 2017 г.

Very good explain nd excelent material

автор: JONNATHAN C C M

11 янв. 2021 г.

Excellent course, excellent teacher.

автор: Bilal A

7 февр. 2017 г.

Really great, from basic to advance.

автор: Nícolas V S

25 июля 2020 г.

A very concise and complete course.

автор: Maxim V

18 янв. 2020 г.

A very thorough into to statistics!

автор: Ammar J

4 февр. 2019 г.

very helpful for Statistic analysis

автор: Rahul

25 авг. 2017 г.

Fastest route to Bayesian Learning.

автор: chittibabu k

28 апр. 2020 г.

Nice Course. Easily understandable

автор: Isaac R M

21 февр. 2020 г.

Great Course, very straightfoward

автор: Nathanael G

7 сент. 2018 г.

Very well taught and informative.

автор: Xin L

31 мар. 2018 г.

Clear and useful. Really helpful.

автор: Sam C

15 янв. 2018 г.

Good intro to Bayesian statistics

автор: Daniel K O

24 нояб. 2016 г.

Clear, concise and well presented

автор: Andrei B

28 авг. 2016 г.

Great course ! Simple and clear !

автор: Hager A I M

25 мар. 2019 г.

Very informative and informative

автор: Electromagnet

24 дек. 2018 г.

Great introduction for beginners

автор: Rob C

11 окт. 2018 г.

Very well taught, thanks Herbie!

автор: Jianye S

3 февр. 2021 г.

it really helps me, nice class.

автор: Valluri R R

16 авг. 2020 г.

Excellent course - - thank you

автор: Yitian L L

25 июня 2017 г.

VERY INSIGHTFUL AND INSTRUCTIVE

автор: Mas N

18 янв. 2017 г.

Excellent ! Thank you so much !

автор: Borisov V

10 мая 2019 г.

I like this course, thank you!

автор: Duc H N

11 мар. 2020 г.

Good introduction to problems