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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:

351–375 из 687 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Bill S

16 окт. 2017 г.

Very good -- from fundamentals to basic analyses.

автор: Rizzardig

30 авг. 2016 г.

Just an introduction to the topic but very clear.

автор: Shekhar T

10 авг. 2020 г.

More course notes with examples would be useful.

автор: Desham M

1 июля 2020 г.

Great course for strengthening your fundamentals

автор: Shounak D

27 авг. 2018 г.

Good introductory course on Bayesian Statistics.

автор: Tze S

17 июля 2018 г.

very detailed and good classes on bayesian stats

автор: Peter A

17 мар. 2020 г.

Excellent introduction of all the key concepts.

автор: Yidan Z

7 июля 2019 г.

very helpful for learning Bayesian on your own.

автор: Manu G

30 июня 2020 г.

Great course to understand bayesian statistics

автор: Tami R

17 мая 2020 г.

The course was well structered and very clear.

автор: Andreas Z

8 мар. 2018 г.

Very good introduction to Bayesian Statistics.

автор: Mehdi H

11 нояб. 2017 г.

I really liked the course and the instructor.

автор: andrew c

21 мая 2020 г.

Really clear and well paced Herbie thank you

автор: Deborah S

28 июня 2019 г.

Didatic and complete course! I recomend 100%

автор: Quanying L

29 июня 2018 г.

The course is informative and clear. Thanks.

автор: Brian J

18 мар. 2018 г.

Great course, I learned a lot. Challenging!

автор: Liublu B

29 авг. 2017 г.

Very good, I reccomend it to data scientist

автор: Scott B

10 янв. 2020 г.

Excellent overview of bayesian statistics.

автор: Rami K

5 мая 2017 г.

Great introdation for Bayesian Statistics!

автор: jalal e h

13 сент. 2016 г.

Great introduction to bayesian statistics

автор: rangaerra

11 мар. 2021 г.

Excellent introduction to bayesian stats

автор: Juan G S

30 июня 2020 г.

good introduction to bayesian statistics

автор: Kelvin L

31 мая 2017 г.

Very informative and challenging course.

автор: Soufyan L

27 февр. 2021 г.

Clear explanation and interesting topic

автор: George U S

23 мая 2020 г.

Fantastic!

a big thank you to Prof. Lee!