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Learner Reviews & Feedback for Bayesian Statistics by Duke University

3.8
stars
798 ratings

About the Course

This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction. We assume learners in this course have background knowledge equivalent to what is covered in the earlier three courses in this specialization: "Introduction to Probability and Data," "Inferential Statistics," and "Linear Regression and Modeling."...

Top reviews

PA

Oct 12, 2018

The course has seen a lot of improvement with new study materials and videos. I'd say that this is now much better than what the course was previously.

KM

Jun 2, 2017

Learnt a lot. Though the subject material was hard to grasp first hand, it is good that instructor was readily available to help us through.

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76 - 100 of 255 Reviews for Bayesian Statistics

By Hohyun J

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Jun 20, 2020

Excellent lecture, well structured, easy to understand.

By julieth i m s

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Nov 27, 2017

Excellent course. Both instructors are really great.

By Ricardo B

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Nov 24, 2017

Very comprehensive course on Bayesian Statistics.

By Nandini G

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Feb 5, 2021

Best Course under Statistics domain on coursera

By Junyu W

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Jul 7, 2020

Very organized and detailed offered course

By Ale D

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Dec 17, 2017

Hard, but very good first course on Bayesian

By Lou B V

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Sep 10, 2020

It was difficult for me yet it is so great.

By Luis A

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Oct 11, 2018

Excellent course very clear explenations.

By Matthew L

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Jan 31, 2018

Really hard, but absolutely worth it.

By Ananda R

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Apr 19, 2017

very difficult but it is interesting

By Zining J

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May 9, 2018

This is course is very intuitive!

By Subrata B

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Sep 7, 2016

Excellent introductory course!

By Arman A

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Aug 25, 2017

Very entertaining course !!!

By Edilson S

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Jul 25, 2016

Very Nice Course! Excellent!

By Alexey K

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May 10, 2018

The magic course...)

Thanks!

By Harish

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Jun 21, 2018

Of an elvated level!

By Deleted A

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Sep 24, 2019

It's helpful to me.

By Long K

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Mar 15, 2018

Strongly recommend!

By Donal G

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Jan 7, 2017

Very good course.

By 李俊宏

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May 22, 2017

very intuitive!

By Tian Z

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Dec 14, 2017

Pretty helpful

By John A

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Oct 2, 2019

Great course!

By Pedro M

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Dec 20, 2018

great course!

By Can

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Jan 10, 2018

Great course.

By Denise L

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Aug 2, 2018

Challenging!