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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: 2,682
•
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:

401–425 из 687 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Shailesh K

•
6 мар. 2019 г.

Nice Course, Good Instructers

автор: Zhen Y

•
2 нояб. 2019 г.

Very good course! Thank you

автор: Takashi Y

•
17 авг. 2017 г.

This is a very good course!

автор: Gustavo A B D

•
26 сент. 2020 г.

Muy claro en los conceptos

автор: Mario C

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28 окт. 2016 г.

Simple but well explained.

автор: mohadeseh m

•
1 апр. 2020 г.

Very organized and useful

автор: Shuangli

•
18 окт. 2020 г.

It is a great lecture!

автор: César P O

•
19 нояб. 2019 г.

It needs more examples

автор: peiyuan s

•
25 сент. 2019 г.

Really good! Thank you

автор: Sergey N

•
17 февр. 2021 г.

Very clear and useful

автор: Ge T

•
1 нояб. 2020 г.

Every easy to follow.

автор: Mohini R

•
18 авг. 2016 г.

I enjoyed the course.

автор: Sergio G

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25 июля 2017 г.

Wow!!! it was great!

автор: agustin a

•
18 сент. 2020 г.

Excelente curso !!!

автор: Aleksander M

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12 мар. 2020 г.

A very nice course

автор: Dave N

•
13 окт. 2019 г.

Good fundamentals.

автор: Susenjit G

•
22 нояб. 2018 г.

Very Useful Course

автор: 思莹 王

•
8 мая 2017 г.

It's very amazing!

автор: Roderick R

•
12 апр. 2017 г.

Excellent course!!

автор: Chiayu L

•
23 дек. 2016 г.

very great lecture

автор: Manuela F M

•
23 нояб. 2020 г.

Aprendi muchisimo

автор: Sanjay C

•
28 дек. 2019 г.

Very well taught.

автор: Steven G

•
20 нояб. 2019 г.

Very good course.

автор: Yukio F

•
30 сент. 2017 г.

Excellent course.

автор: Max L d M

•
24 июля 2017 г.

Very good course!

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