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Learner Reviews & Feedback for Bayesian Statistics: Techniques and Models by University of California, Santa Cruz

4.8
stars
362 ratings
111 reviews

About the Course

This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data....

Top reviews

JH

Nov 01, 2017

This course is excellent! The material is very very interesting, the videos are of high quality and the quizzes and project really helps you getting it together. I really enjoyed it!!!

KD

Jan 09, 2020

Excellent teacher and very well taught. Right amount of theory and programming combination. Made the subject easy to learn. Enjoyed it very much. Thank you very much.

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76 - 100 of 110 Reviews for Bayesian Statistics: Techniques and Models

By Lau C

Apr 15, 2019

Super clear and easy to follow. Thanks so much.

By Tibor R

Apr 20, 2019

Very good and useful course, and hard as well.

By Victor Z

Jul 30, 2018

A very good practical and theoretical course

By Farrukh M

Jul 25, 2017

I appropriate the way the course is taught.

By GABRIEL

Oct 19, 2020

Very nice course, simple and comprehensive

By Evgenii L

May 02, 2018

A very good course to introduce yours

By Luis H

Jul 30, 2017

Rather useful and easy understanding

By JOSE F

Feb 11, 2018

Very challenging but interesting!

By Nikola M

Apr 07, 2019

one of best stats courses I had

By PAWAN S

Sep 09, 2020

EXCELLENT COURSE ....

By Chen N

Apr 08, 2019

Amazing, super cool!

By Luis A A C

Jun 06, 2019

Excellent course.

By Thais P

Jul 01, 2017

Very good curse!!

By Neha K

Sep 14, 2020

excellent course

By sameen n

Apr 30, 2020

Amazing course.

By Harshit G

May 09, 2019

Great course.

By Michael B R

Dec 29, 2017

Great course!

By Yiran W

Jun 11, 2017

Very helpful!

By Dongliang Y

Sep 30, 2018

Great class.

By Dallam M

Jun 27, 2017

great course

By Nancy L

Oct 11, 2019

Thank you!

By Owendrila S

Sep 28, 2020

Very Good

By JOYDIP M

Aug 09, 2020

helpful

By Md. R Q S

Sep 23, 2020

great

By MD F K

Aug 27, 2020

good