4.6
2,954 個評分

## 課程概述

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....

## 熱門審閱

GS

2017年8月31日

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

2020年10月16日

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

## 201 - Bayesian Statistics: From Concept to Data Analysis 的 225 個評論（共 760 個）

2017年7月5日

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

2020年7月20日

Good course about bayesian! I finally understand the relationship between frequentist idea and Bayesian approach and Beta gamma distributions

2020年4月12日

This was a were educational course. I had trouble understanding R programming but with this topic, most of the programs became more clear to me.

2017年6月27日

A Fantastic course. Detailed learning materials, Lots of opportunities to test your knowledge, and difficult enough to make you learn something!

2017年6月1日

I loved everything about this course. It reminded me of my time in school. Papers and pencils. I look forward to attending the follow up course.

2020年7月6日

As a computer science student, I feel Bayesian approach is much more intuitive and more computationally friendly than the frequentist paradigm.

2019年3月11日

It's a good course to know the principal concepts of Bayesian statistics. Also, the course has excellent examples to understand thew concepts.

2018年3月2日

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

2020年7月29日

Consistent and mathematically dense. If you want to go through every passage this course gives you solid understanding of Bayesian statistics.

2019年12月15日

Very good course. Concepts are very well explained, and quizzes are really helpful to apply and further

understand the explanations provided.

2019年11月13日

Thanks, Coursera. This is a good course. It would be helpful if we get any proper class notes on Jeffrey's prior and Multivariate regression.

2019年7月3日

Great course with a lot of simple, but illustrative exercises. It may be useful to have some basic prior knowledge of econometrics/statistics

2019年1月16日

Great introductory course. It was challenging but doable for someone who has not take college level mathematics or statistics in a few years.

2018年2月11日

Invaluable. Excellent quizzes. A few terms could have been better defined, and a few more examples wouldn't hurt, but overall excellent.

2016年11月10日

Very well presented course. Interesting and intuitive introduction into the fascinating Bayesian world.

Many thanks and congratulations!!!

2021年10月6日

Excellent introduction to Bayesian statistics -- lectures, readings, and quizzes provide excellent support to learning the main concepts.

2017年10月12日

Great course, it has the right proportion of theory and practice. It's a great start for anyone who wants to dive into Bayesian Analysis.

2020年2月5日

Thought is a simple manner. Made complex concepts look very easy. Would surely recommend this course. Thanks Prof. Herbert Lee and team.

2018年10月8日

Awesome course that helped me overcome the Bayesian statistics way of thinking hurdle. Now, I want to go on and learn MCMC, Metropolis !

2020年2月2日

The course is generally great. Nonetheless, it is not recommended for those without a statistical background and knowledge of calculus.

2017年2月12日

Very good course. Prof. Lee explains each concept well. Bayesian Stats makes more sense to me now than before!!

Thanks so much Prof. Lee

2018年10月4日

I loved this course, I learned a lot and I hope I will be able to use this knowledge when I go back to college for my Master's degree.

2018年5月2日

A very good course. Even better if you continue with the 2nd course that teaches about how to implement Bayesian data analysis in JAGS

2016年12月18日

I enjoyed the lecturer, the material is relevant, and the tests are well tailored to ensure you are absorbing the correct information.

2020年1月16日

Give you great insight. Very intuitive. Although we went through the last week rather quick (more explanation would have been better)