# 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
1,821 个评分
471 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.

## 101 - Bayesian Statistics: From Concept to Data Analysis 的 125 个评论（共 460 个）

Aug 18, 2017

This is a very good course!

Sep 13, 2016

Great introduction to bayesian statistics

Sep 29, 2016

Great Course! The material is very well presented. Highly recommended.

Feb 24, 2017

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

Jun 04, 2017

This is a short course and it was a great introduction to Bayesian inference. Lessons went through both theory and application. I found the videos easy to follow and that they prepared me for the quizzes. I also really valued learning how to use R.

Oct 24, 2016

Very thoughtful and deep, great learning experience, thanks!

Jan 13, 2018

Highly informative. Prof. Herbert Lee is a great professor providing very thorough notes and material for the Bayesian paradigm of Statistics. I would highly recommend this to any who are interested. It is also a great introduction to using R.

Jun 04, 2017

Leaned a new perspective to understanding uncertainty. Thanks a lot!

May 06, 2017

Great introdation for Bayesian Statistics!

Feb 06, 2018

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

Sep 30, 2017

Great course for an intro to the Bayesian statistical approach.

Sep 21, 2017

Great introductory course on Bayesian data analysis. The course is self-contained and the videos make a great job explaining the concepts of each lesson. I truly appreciated the practical approach either with R or Excel.

Nov 16, 2017

This is first time exposure to bayesian statistics and I must say it has given me a different perspective to analyzing data especially when dealing with unpredictable data or unknown data.

Sep 17, 2017

Very well structured course. Problems and quiz are real life problems, and it's challenging and rewarding to solve them. Thanks to Prof. Lee for delivering an awesome course.

May 15, 2017

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

Jun 05, 2017

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

Apr 22, 2018

Amazing. Simple, fast, dense, very well taught. I loved the professor, his commentaries and way to explain the contents. Thought the exercises were OK, maybe simpler than I taught but the comments in them helped me a lot to understand the topics. 10/10, a new and better way to teach! Very useful.

Apr 24, 2017

Very good explain nd excelent material

Dec 01, 2016

Although I only spent less than one week to finish the course, I think it is quite valuable if you are interested in statistical inference and want to learn more specific in Beyesian Statistics. High Recommended.

Dec 17, 2017

Great!

Mar 02, 2018

I really appreciated the content, and the way it was taught by Prof. Lee. His explanations were intuitive, without loss of mathematical rigour.

Jul 05, 2017

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

Apr 12, 2017

Excellent course. Professor Lee did a first-rate job of giving the intuition for Bayesian methods and building the foundations for further study of the topic. The course is short and to the point, but that is a feature and not a bug. It will prepare you to take further courses in Bayesian statistics or to study the topic on your own. Highly recommended.

Dec 26, 2017

Very encouraging

Jul 05, 2017

Great course. Intermediate to advanced level (at least for me). You must have good foundation in probability. If so, you will learn a lot. Thanks