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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

Оценки: 2,678
Рецензии: 698

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

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.

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:

251–275 из 686 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: KUMAR G

11 февр. 2020 г.

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

автор: Sheng J V A

13 дек. 2018 г.

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

автор: Soren J

21 янв. 2020 г.

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

автор: Xiao W

8 апр. 2019 г.

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

автор: Edward B

24 нояб. 2020 г.

Excellent! Clear presentations, very bottom line up front with transparent examples, good course.

автор: Stephen S

9 июня 2019 г.

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

автор: Julio C L J

12 июня 2018 г.

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

автор: Sean E

12 мар. 2018 г.

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

автор: Felix S

19 июня 2019 г.

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

автор: Duke W

3 нояб. 2019 г.

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

автор: Arnaud D

30 окт. 2018 г.

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

автор: Mark C

12 мая 2018 г.

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

автор: Kristy A G J

23 авг. 2020 г.

For me, the course was well explain, the examples used help me to understand in a easy way.

автор: 杨铭宇

5 июля 2017 г.

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

автор: Eliott L

28 сент. 2018 г.

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

автор: Daniyar M

11 мар. 2019 г.

refreshed university materials and also gained deep understanding of probability theorems

автор: Igor K

29 мая 2017 г.

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

автор: Daniel J R V

15 мая 2017 г.

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

автор: Bruno M

6 янв. 2020 г.

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

автор: Samrat S

7 июля 2017 г.

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

автор: Sariel H

25 авг. 2020 г.

If the tutor could further clarify normal prior in Week4 Lesson 10, it could be better.

автор: Somnath B

26 нояб. 2017 г.

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

автор: Edit T

12 февр. 2017 г.

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

автор: Deepanshu P

2 апр. 2019 г.

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