Bayesian Statistics: From Concept to Data Analysis(으)로 돌아가기

4.6

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451개의 리뷰

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....

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.

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.

필터링 기준:

교육 기관: Liublu B

•Aug 29, 2017

Very good, I reccomend it to data scientist

교육 기관: Tomáš B

•Sep 08, 2016

Short, simple and clear explanations. I only regret the course is not longer.

교육 기관: Mas N

•Jan 18, 2017

Excellent ! Thank you so much !

교육 기관: Laure N

•Mar 06, 2018

Thank you very much for sharing your knowledge with the public. Now I am no more afraid to face the book 'Bayesian Data Analysis' by A. Gelman et al.

교육 기관: Sujith N

•Feb 24, 2018

As a primer to Bayesian Statistics, this course covers the basics at a brisk pace. No time is wasted in explaining the basics of Probability theory; which I have always found, at best, to be distracting in the other similar courses I have taken. Thank you, Herbert Lee and Coursera.

교육 기관: Zhirui W

•Sep 26, 2017

Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.

교육 기관: Nguyen Q V

•Aug 21, 2017

It is the good place to start to learn Bayesian theory

교육 기관: Bijit D

•Sep 20, 2017

A great course on Bayesian Statistics.

교육 기관: Fedor T

•Jan 21, 2017

Very clear lectures masterfully delivered by prof. Lee. The quizzes are good, if somewhat on the easy side. Don't be discouraged by the choice of R as the tool for assignments. R is flawed as a programming language, but you won't need to do any programming, only one-liners to evaluate various statistical functions and plot results.

교육 기관: Nathaniel R

•Nov 21, 2016

This is the first online course I have ever taken so I don't have anything to compare it to, but this course was excellent! The lectures and materials were very clear and I will be adopting some of Prof. Lee's approach into my own teaching practice. The bar has been set very high for any future online courses that I will take!

교육 기관: Xiaoyang G

•Jul 07, 2016

This course is a very good introductory of bayesian statistics. But it better that you have known the basic statistics inference.

교육 기관: Andreas Z

•Mar 08, 2018

Very good introduction to Bayesian Statistics.

교육 기관: Angelo A d M F

•Jan 09, 2017

Excellent introductory course to bayesian statistics. I'd like to thank Professor Lee, University of Santa Cruz, Coursera and all supporting staff for the opportunity. I'd enjoy if you provided intermediate and advanced courses on bayesian statistics that covers more topics.

교육 기관: Thomas E

•Aug 31, 2016

I followed this class with a great enthousiasm. It was very clear and pedagogical !

교육 기관: 张宁

•Sep 24, 2016

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

교육 기관: Jinxiao Z

•Jun 21, 2018

excellent

교육 기관: Nitin K

•Jun 01, 2017

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.

교육 기관: Jonathan H

•Oct 06, 2017

This course is well prepared.

The videos are of high quality and the lessons are easy to follow.

I enjoyed the Honors content as well, that gives an extra challenge to those who want it.

Thanks!

교육 기관: Vikramnath V

•Aug 22, 2016

Excellent lectures by Herbert Lee. Great intuitive content for learners.

교육 기관: Xilu W

•Nov 20, 2016

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

교육 기관: Jason R

•Apr 08, 2017

I found this course to be incredibly useful to learn Bayesian statistics and a useful guide for applying the information in r and excel. I would definitely recommend it to anyone interested in furthering their understanding on this topic.

교육 기관: kacl780tr

•Jul 06, 2017

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

교육 기관: Ariel A

•Oct 12, 2017

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.

교육 기관: Syarif M

•Dec 02, 2016

Definitly the best statistic course for beginners with some mathematical knowledge. Love the way the videos are recorded (Transparent glass between the camera and teacher) it should be a standard for online course! thank you so much!

교육 기관: Quanying L

•Jun 29, 2018

The course is informative and clear. Thanks.