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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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676 - 700 of 831 Reviews for Bayesian Statistics: From Concept to Data Analysis

By Mitali Y

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Feb 28, 2023

Explained statistics very well. Felt a little rushed at the end. Still very informative and the quizzes help consolidate the learning.

By Xu Z

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Apr 7, 2017

Very concise and easy to follow to the end. The linear regression part could be more clear (i.e., with a lecture on the background).

By Bobby M

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Oct 13, 2024

A bit tough and most of the lectures are just formula explanations, but great to understand distribution and Bayesian statistics.

By Alex C

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Feb 17, 2020

The last section, normal data, which is very important, could have been instructed in a slower, less hasty way with more details.

By Björn A

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Jun 21, 2020

Great course to get acquainted with Bayesian statistics and inference. Just wished seeing a bit more of mathematical background.

By David L

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Nov 28, 2018

Need more information about linear regression, given material is not enough to understand topic and effectively find solution.

By Ethan V

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Nov 2, 2017

A bit dry overall, but I appreciate the rigor and precision, along with the practical examples in R. I learned a great deal.

By Sameer G

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Nov 4, 2017

Hi , this course opened a door for me in Data analysis. Very intuitive & must course for any person exploring data science.

By Jan J

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Aug 28, 2019

Good course, but it could really use some PDFs with lecture notes ( as in contents of videos, not supplementary material).

By abhisingh03

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Jan 14, 2017

This course has given me some good new insights into perceiving data and has got me started nicely I am very great full.

By Leonardo G Z

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Jun 29, 2021

Overall the course is nice for the basics. However, I expected a little bit more coding and less mathematical formulas.

By Jakob L

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Mar 16, 2019

Good introduction and interesting topics. However, some of the model analyses are not appropriate and feels artificial.

By Rohit J (

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Feb 4, 2018

As a graduate student pursuing Machine Learning, this was a great course for me to get introduced to Bayesian Models.

By Tommaso C

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Nov 23, 2021

Difficult to work on assignments because it was unclear how to implement the knowledge discussed during the lecture

By Yixuan C

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Jan 2, 2022

The material is quite hard for someone who has only basic knowledge in statistics. But the excercises are helpful.

By Muksitul I

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Jul 2, 2018

Well explained and articulated. You can apply it straight to your work problems. I really enjoyed doing the course.

By Sankar M

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Jun 21, 2020

Excellent introductory course. Some of the concepts in the later part of the course are not explained well though.

By Robert G

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Jul 3, 2019

Overall great course, the last part (linear regression) seems somewhat disconnected from the rest of the course.

By lai p w

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Jan 1, 2018

I can learn the concept, but need to understand the details well in other ways. eg. reading, or searching online

By Jose a z r

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Aug 28, 2017

Very helpfull course. I will use the principles taugh for other topics like machine learning. Thans for sharing.

By Jan B

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Oct 3, 2020

Great course with a good theory/practice balance, but examples could be a bit more refreshing and less boring.

By Pranesh K

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Mar 10, 2017

The course is excellent to learn all the basic stuff needed to master the technique of Bayesian Data Analysis.

By Guruprasad K

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Jun 25, 2020

More assignments and live and truncky examples applying the principles would make course even more wonderful

By Somnath C

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Dec 3, 2016

I wish the last week were more explanatory. Although overall now I do have an idea. It's a good course. :-)

By Yandira D C C

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Aug 2, 2024

Very clear and motivative course. I learn a lot from it and I am motivated to keep learning thanks to it.