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学生对 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: From Concept to Data Analysis 的评价和反馈

4.6
1,734 个评分
451 个审阅

课程概述

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....

热门审阅

GS

Sep 01, 2017

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.

JH

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

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426 - Bayesian Statistics: From Concept to Data Analysis 的 440 个评论(共 440 个)

创建者 Tianchi L

Aug 15, 2019

-1 star: Some discussions and derivations do not have adequate context and background. I expected more thorough explanation on concepts and more advanced topics. There are also a few minor typos that confused me. It is only a helpful introductory level course on Bayesian without depth.

-1 star: quizzes are not challenging enough and they only require plugging in numbers into equation. Not a good way to study

创建者 Victor D

Jul 09, 2019

Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.

创建者 Max H

Jul 14, 2019

It would be much better if there was a more sufficient introduction to the various distributions used in the course.

创建者 Binu M D

Sep 21, 2019

Too much theoretical than practical applications. No need to give both R and Excel videos.

创建者 Jorge P

Feb 02, 2017

Some matters were just given formulas and there was a lack of practice. The course should cover less materials or be longer to be effective in teaching.

创建者 Fabian K

May 01, 2017

Not very much in depth and does not offer complete lecture notes, which are necessary for answering the quizzes...

创建者 Martin E

Apr 13, 2017

I get lost a bit too often.

The teacher sometimes explains easy concepts and omits the difficult ones (e.g. exponential distribution is explained as "for example if you are waiting for a bus that comes every ten minutes" and then he tells you how to compute expected value and moves on, but he does not say WHAT IT MEANS - is it the probability that I will meet an oncoming bus? is it probability of waiting ten minutes for the bus? is it the average waiting time? is it average number of buses that come every hour? - but there is detailed explanation of what A squared means in lesson two (!))

The teacher often makes me confused as to where he got the numbers he is plugging in the formula or what answer the formula gives.

But I take it as a challenge and I intend to finish the course despite all of that. Sometimes it is fun to decipher the mystic equations. And maybe it is me, maybe I was not born to be a statistician. Maybe there are people that find this stuff easy and understand it right away.

I really like the quizes. They are HARD.

One last thing: Wearing white shirt and using white marker makes it impossible to read what he writes. But I take it is part of the challenge ;-)

创建者 Jane B

Jul 31, 2018

There should be more focus on understanding the equations. The R and excel videos were incredibly blurry.

创建者 Patrick K W

Jul 28, 2019

It's alright because it gives you an overview of what is covered in a Bayesian Stats class, but the material is presented quite poorly and I had to do a lot of second hand reading to answer the questions. It is not particularly enlightening even and the formulas are presented without proper grounding, context, and intuition. I can recommend this only for dedicated self-studiers who already have some sort of grounding in Bayesian reasoning.

创建者 Mehrdad P

Jul 04, 2019

it was an okay course, I liked that they used R occasionally in the course, but I did not like how the concepts were discussed

创建者 Benjamin H

Jan 05, 2019

I was baffled after the first lesson. There is no explanation or answers given.

创建者 Emine Ç Ö

May 23, 2017

Almost no intuition is given. I really got bored while watching the formulas to be written on the board without giving real meaning behind them. I would not have taken this course I was aware of these.

创建者 Voo T V

Jan 29, 2017

I have studied some Bayesian Statistics before. I feel like the materials itself is not sufficient for entry level, and will actually confuse some of the learners. Anyway, this is just my two cents. :)

创建者 Sathish R

May 19, 2018

Herbert Lee is teaching by seeing books and write lots of equations doesn't explain how theory and equations related to real world applications. Its more like class room lessons , not like something that can be applied to real world scenarios.

创建者 DOGA T

Sep 12, 2019

The instructor doesn't do a good job at teaching. He throws so many formulas at you without explaining any of them. The course is purely based on memorization not understanding the concepts. I have been using other online classes to be able to understand this class.