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Back to Bayesian Statistics: From Concept to Data Analysis

Learner Reviews & Feedback for Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz

4.6
stars
3,170 ratings

About the Course

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....

Top reviews

GS

Aug 31, 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.

JB

Oct 16, 2020

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

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401 - 425 of 831 Reviews for Bayesian Statistics: From Concept to Data Analysis

By Baiyu L

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Jan 27, 2020

explanation in details and nice supplementary materials

By Zotov A V

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Nov 21, 2016

I want more practice programming tasks for this course.

By Brett B

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Nov 19, 2022

Great intro to core concepts in the Bayesian framework

By shweta d

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Oct 17, 2022

Apt for Beginer to Advance learners. Glad I did this.

By SAMUEL H S S U

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Jan 17, 2021

I'm very happy with this course, really learn with it.

By Eric B G

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May 9, 2020

The best course about Bayesian Stats that I have done!

By sameen n

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Feb 5, 2019

Thanks it was nice learning from wonderfu instructors.

By Nguyen Q V

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Aug 21, 2017

It is the good place to start to learn Bayesian theory

By Javier G

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Jun 7, 2022

Very good teachers, exercises and additional material

By Sandip D

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Aug 4, 2020

Excellent Material and Very good learning experience.

By Lazaros S

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Oct 4, 2019

Excellent and very helpful course. Highly recommended

By Semhar O

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Jun 15, 2022

Great primer on Bayesian concepts and data analysis.

By Cem T

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May 11, 2019

It was a groundbreaking course. I highly suggest it.

By Gu F

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Feb 16, 2017

amazing quizes, and you don't have pay to take them.

By Arnaud M

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May 7, 2024

Bayesian statistics fundamentals clearly explained.

By Anil M

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Jul 4, 2020

Great intro course explained well by Professor Lee.

By A F

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Apr 21, 2018

Great explanations, with detailed steps to follow.

By R S

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Dec 22, 2016

Instructor responds quickly to problems. Good job.

By Jose F

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Jan 17, 2018

Great explanations, and great reference material.

By Bill S

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Oct 16, 2017

Very good -- from fundamentals to basic analyses.

By Rizzardig

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Aug 30, 2016

Just an introduction to the topic but very clear.

By Shekhar T

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Aug 10, 2020

More course notes with examples would be useful.

By Desham M

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Jul 1, 2020

Great course for strengthening your fundamentals

By Shounak D

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Aug 27, 2018

Good introductory course on Bayesian Statistics.

By Tze S

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Jul 17, 2018

very detailed and good classes on bayesian stats