Chevron Left
Retour à Bayesian Statistics: From Concept to Data Analysis

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

2,972 évaluations

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


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.


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

Filtrer par :

76 - 100 sur 768 Avis pour Bayesian Statistics: From Concept to Data Analysis

par Andres F

11 juil. 2022

par Natasha

27 déc. 2016

par Galley D

11 sept. 2017

par Ayobami A

19 juil. 2020

par Fedor T

21 janv. 2017

par Nathaniel R

21 nov. 2016

par Thomas G

5 mars 2022

par Musa J

11 août 2017

par Labmem

11 sept. 2016

par Victor A

1 mars 2017

par Theofilus H P

23 août 2020

par Kevin L

24 mai 2020

par John G

30 oct. 2017

par William P

3 août 2018

par José R

23 août 2020

par Najib B

26 août 2021

par Guido W R

5 oct. 2016

par Oaní d S d C

21 avr. 2018

par Erick S O B

27 sept. 2020

par Derek H

12 juin 2019

par Tapan S K

10 janv. 2022

par Devesh S

30 juin 2017

par Manuel M S

29 avr. 2020

par Xiaomeng W

13 déc. 2019

par Sujith N

24 févr. 2018