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Avis et commentaires pour d'étudiants pour Bayesian Statistics: From Concept to Data Analysis par Université de Californie à Santa Cruz

4.6
étoiles
2,918 évaluations
759 avis

À propos du cours

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....

Meilleurs avis

GS

31 août 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

16 oct. 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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351 - 375 sur 752 Avis pour Bayesian Statistics: From Concept to Data Analysis

par Felipe M

23 oct. 2017

Very practical and insightful course. Strongly recommend it.

par Alexandre F G

24 oct. 2016

Very thoughtful and deep, great learning experience, thanks!

par huong n

15 avr. 2022

The professor provide detailed guidance, in a logical way.

par Ignacio P

23 avr. 2020

I have discovered a new approach to statistics. Thank you!!

par Joe N

22 janv. 2017

Great course! Very concise, yet very informative! Go Slugs!

par Nathan A

18 déc. 2018

A well-rounded introductory course in Bayesian Statistics.

par Evgeni N

20 avr. 2022

An Outstanding Course taught by an Outstanding Professor!

par Pablo R

17 sept. 2020

Muy buen curso, los ejercicios enseñan mucho al hacerlos.

par Manikant R

19 juin 2020

Great instructor , course is very useful for data science

par SAUL E M R

17 avr. 2020

Very meaty and useful... The content is highly structured

par Yanlin B

23 mars 2020

A great introduction to the world of Bayesian Statistics!

par Antonio A A

26 mai 2020

A well-designed course to introduce Bayesian Statistics

par Baiyu L

27 janv. 2020

explanation in details and nice supplementary materials

par Zotov A V

21 nov. 2016

I want more practice programming tasks for this course.

par SAMUEL H S S U

17 janv. 2021

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

par Eric B G

9 mai 2020

The best course about Bayesian Stats that I have done!

par sameen n

5 févr. 2019

Thanks it was nice learning from wonderfu instructors.

par Nguyen Q V

21 août 2017

It is the good place to start to learn Bayesian theory

par Sandip D

4 août 2020

Excellent Material and Very good learning experience.

par Lazaros S

4 oct. 2019

Excellent and very helpful course. Highly recommended

par Cem T

11 mai 2019

It was a groundbreaking course. I highly suggest it.

par Gu F

16 févr. 2017

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

par Anil M

4 juil. 2020

Great intro course explained well by Professor Lee.

par A F

21 avr. 2018

Great explanations, with detailed steps to follow.

par R S

22 déc. 2016

Instructor responds quickly to problems. Good job.