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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: 2,695
Рецензии: 704

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:

226–250 из 690 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Georgios P

24 февр. 2017 г.

Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.

автор: Shakir B

3 авг. 2020 г.

Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.

автор: Бызов А

27 мая 2018 г.

Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course

автор: Flavio P

10 авг. 2017 г.

Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.

автор: kacl780tr

6 июля 2017 г.

Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.

автор: 张宁

24 сент. 2016 г.

This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.

автор: 郭冰

10 мар. 2017 г.

I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.

автор: Zach K

3 авг. 2020 г.

I learned a ton about statistics and probability distributions. It was great prep for my machine learning classes.

автор: Xilu W

19 нояб. 2016 г.

I'm a graduate student in mechanical engineering. Thanks for the open course, it is really convenient and helpful!

автор: Artur A B

21 авг. 2019 г.

Very useful course, described a basic understanding behind Bayesian theory and sequential updating of posteriors.

автор: Harsh V D

6 авг. 2017 г.

A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics

автор: Andrew N

22 окт. 2016 г.

wrote in my comment.

The course is extremely well presented and the difficulty level of the excercises is perfect.

автор: Stephen H

17 мар. 2019 г.

A very nice introduction to Bayesian Statistics in a couple of hours. The course is quite intuitive and concise.

автор: Travis J M

27 дек. 2020 г.

4.6 Stars. Thank you Dr. Lee for taking the time to provide this class for the World for free, I learned a lot.

автор: Erkan

17 дек. 2019 г.

A very nice brief overview of the concept. Good for beginners and for people who want to refresh their memory.

автор: Maojie T

2 дек. 2019 г.

A good course, even it's not very deep, it still can teach people something fresh and comprehensive knowledge.

автор: Adam B

4 июня 2017 г.

Great course as an introduction to Bayesian Statistics. Interesting material and the pace was very reasonable.

автор: Mrinal

4 авг. 2020 г.

Excellent material, examples, and quizzes. Does not trade technicality for practicality, both being abundant.

автор: NoneLand

6 февр. 2018 г.

Very good! Going through this course, one would get basic idea about Bayesian Statistics and conjugate prior.

автор: Huang h

23 мая 2017 г.

A Good Introduction to Bayesian Statistics. I always get quick response after I post a question on the forum.

автор: Satish N

23 авг. 2020 г.

Very Good Course. It is decently paced and comprehensive enough to get you started with Bayesian Statistics.

автор: Soonkyo J

18 февр. 2018 г.

The coolest part of this lecture is mathematical explanation of concepts, especially about conjugate priors.

автор: Gowri T

5 февр. 2020 г.

I liked the quizzes, detailed feedback. The lectures were a bit hurried, but a lot of good content in them.

автор: matthew

30 июля 2017 г.

I strongly recommend this course. Clear structure and insightful questions. Thanks for instructor's inputs.

автор: Natsuko N

30 июня 2020 г.

I got a lot familiar with Bayesian concepts and how to analyze and interpret the data. Thank you so much!