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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
2,913 évaluations
758 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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576 - 600 sur 751 Avis pour Bayesian Statistics: From Concept to Data Analysis

par Steven S

7 juil. 2017

Great course (and teacher). Assumes some basic highschool level for math. With experience in frequentist statistics, but not all the distributions this course was "easy" to follow.

par Antonio H

20 févr. 2021

Great course in a difficult subject. Well structured. Requires some previous knowledge otherwise difficult to follow. Big thanks to professor Lee for bringing to us this content.

par Óscar S F

19 sept. 2017

Very straight-to-the-point course. Very dense, though, for a newbe in bayesian terms and concepts. But I definitely suggest it to undertand priors and posterior concepts. Thanks!

par Douglas E

15 sept. 2021

Solid, comprehensive course but helps to have a bit of background in Bayesian statistics to follow along. Would also liked a little more on the practical applications using R.

par Colin J

11 nov. 2019

A great intro to Bayesian analysis and probability distributions. Personally I skipped the Excel content and converted the R code to python, which was itself valuable learning.

par Patricia G

3 mars 2020

Es un buen curso introductorio, alguna explicaciones y deducciones matemáticas podrían explicarse mejor. Además estaría bueno que se den más ejemplos practicos en los videos.

par Murray S

4 sept. 2018

I think the course would benefit by recommending a textbook that would supplement the lecture material. It's nice to have a reference to refer to after viewing the lectures.

par Jean M

5 févr. 2018

This is a good course, I've learn a lot about Bayesian statistics with very little prior knowledge about this subject and even about statistics and probability in general.

par Simon N

9 sept. 2017

This is a nice, bite-sized introduction to Bayesian inference. Helpful lecture notes are provided, alongside introductions to practical computations using R and Excel.

par Julian S

13 avr. 2020

Great course with clear structure and good explanations. An overview "cheat sheet" would be nice, also some hints to literature which covers the topics in more depth.

par Ben N

24 févr. 2019

A little heavy on the theory for my style of learning - would have appreciated more clear, applied examples in the lectures, but overall a good and informative course

par Ollie B

11 juin 2020

A lot of clearly presented content and helpful quizzes. Some lectures felt a little inconclusive but maybe I just didn't follow the Maths. Would definitely recommend

par Taranpreet s

16 janv. 2020

Assignments are the best part of the code. Videos don't provide enough conceptual knowledge. Overall considering the intricacies of the topic its a very good course.

par Laura V T T

27 avr. 2021

Really like it! The videos are short and straightforward to follow, although you might need some basic knowledge in statistics to keep up all the lectures properly

par Przemysław M J

10 juil. 2017

Nice explanations of the theory, however there could be a bit more written materials and the pace could be slightly slower, especially regarding the last chapters.

par Ruben S

3 mars 2019

I took this course both to refresh my basic understanding of statistics as well as to learn what Bayesian Statistics was about. This course was good fit for this.

par Anuj K S

24 oct. 2020

It is a good basic course with lot of math. However, personally I found it little difficulty but yo can make sense of everything if yo watch the video 2-3 times

par mingzhuo

25 août 2018

Though Bayesian statistics is not easy, and quite complex when dealing with prior and posterior. This class provides a good overview the the Bayesian statistics.

par Fatemeh F

7 oct. 2020

The course was good, but the required time was much different from the one written in the course description. It has a lot of quizzes, which take a lot of time.

par 재환 맹

22 mai 2018

Intuitive course, but somewhat fast which leads students to pause and contemplate on what the lecturer had to say. Good start to get to know Baysian Statistics.

par Xiao X

27 mai 2018

The explanation is very in details. It would be better to have more mathematical derivation in the linear regression part besides the demonstation of using R.

par Hu S

8 mai 2017

Overall a good course about Bayesian inference. Only suggestion would be to spend a bit more time explaining the interpretation behind the calculated numbers.

par Arthur M

30 mars 2018

Very good introduction to bayesian statistics, but I would have liked a bit more written material to complement the videos, who were rather short and fast.

par Víthor R F

12 janv. 2018

It is interesting learning the mathematics behind the analysis, but it could have been more complete, with a little less theory and more data analysis.

par xu w

2 sept. 2017

this is a very good introductory course on Bayesian Statistics. Thought you will not learn deep from this course, it will give you a good big picture.