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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
2,817 évaluations
734 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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126 - 150 sur 726 Avis pour Bayesian Statistics: From Concept to Data Analysis

par Fabian M

20 févr. 2018

The course manages very well to balance out comprehensibility and content. Professor Herbert Lee has obviously prepared the material very thoroughly and imparts the content of the course in an enjoyable fashion.

par WU T T

13 janv. 2018

I think the number of quiz questions is appropriate. They helped me to have better understanding of the content of this course. Teacher's lectures are brief and clear. I will take the next part of this lesson.

par chenshuai

26 août 2020

very helpful courses. The assignment is decent and the professor explanation is very clear. I would like it to provide a bit hint for the honor part too, since there is no answers for the honor part for now.

par Padmeswar D

9 juil. 2020

I liked the course because it is meticulously designed to help build on concepts in Bayesian Statistical Analysis. The Quiz's really helped me grasp the concepts as they fully supplement the lecture classes.

par Vimos T

24 août 2016

This course makes a lot of details clear to me. Thanks professor for this great course.

I still have one question, is the professor writing on a transparent board in inverse pattern? The technique is amazing!

par Khoa M

17 déc. 2020

Good introduction to Bayesian Statistics. Although I still need more time to realize how to apply the concepts into real-life situations, it definitely helps if I encounter this subject again in the future.

par Tobias .

1 mai 2020

Very interesting, mathematically driven course that dives right into the mathematical concepts that are necessary to understand the concepts of Bayesian Statistics without going too deep into the calculus.

par Paul J

6 avr. 2020

A very challenging course, but very well thought out and designed. Note - the videos were very well done, but in some instances, I found using zstatistics on youtube.com to be a good supplemental source.

par Naehyun P

15 janv. 2020

Very helpful for understanding the basic concepts of not only Bayesian statistics but also the basic knowledge of statistics, which will be very helpful for understanding other subjects using statistics.

par Medha A

6 mai 2020

I thoroughly enjoyed the course. Honest feedback would be that the course should have included a coding assignment with a particular template. But all apart, it was a great learning experience. Thanks!!

par Fabian S

17 févr. 2019

A great introduction to Bayesian Statistics. For some of the Quiz questions, it would have been helpful to get an error warning in case one might had accidentally used a comma instead of a dot notation.

par David K

19 mars 2021

I realy helped to understand the concept of Bayesian Statistics and how to apply it.

I liked the approach from flipping a coin and learn and verify the steps to continous distributions and R simulations

par Raja F Z

24 mai 2020

instructor style and way of delivering lectures is very interactive and made this course very easy to understand, wit even a little knowledge of probability. Tank you very much instructor and coursera.

par annalise s

25 mars 2020

it is a wonderful course. In this course, I have learned some basic theories and concepts for bayesian statistics and also do some applications with R programming. Highly Recommended as a intro courses

par Alex T

19 févr. 2020

Excellent first course in Bayesian statistics - definitely not too basic, but just at the right level that you can understand everything in the course without having studied Bayesian statistics before.

par Jorge V C

1 juin 2017

A very complete and easy to follow course. It's very helpful for everyone who needs to work with data and has to take decisions about that. It also has examples in R and Excel. I strongly recommend it.

par Alexandre H d S

13 juil. 2020

It's an amazing course, I strongly recommend. It was like a complementary course for the Data Analysis course of my university, giving a wide explanation over bayesian analysis. I'm glad to finish it.

par John H

27 juin 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

par Jose P C

7 nov. 2017

I've learned how to process data and analyze data from studies, that's a wonderful ability I think everybody should try to learn in order to not get manipulated by the media. Thanks for this course!

par kabonline09

14 nov. 2020

A very good introduction to Bayesian Statistics.Couple of optional R modules of data analysis could have been introduced . However, prerequisites are essential in order to appreciate the course.

par Huangzhao Z

30 juil. 2021

Very inspirational! Strongly recommended! Bayes provides a new perspective to look at the data with uncertainty considered. This is interesting. Going to learning something about MCMC bayes...

par Yiwen

25 janv. 2019

The course if very informative but some previous knowledge and understanding of basic statistics (e.g., distributions) is recommended to fully grasp the concepts delivered through the course.

par Jonathan H

6 oct. 2017

This course is well prepared.

The videos are of high quality and the lessons are easy to follow.

I enjoyed the Honors content as well, that gives an extra challenge to those who want it.

Thanks!

par Ana E R O

21 juil. 2020

Prof. Lee's approach is simple and intuitive. There are exercises throughout the videos, which help you make sure you and the professor are on the same track. I would certainly recommend it!

par Sudhir K P

16 nov. 2017

This is first time exposure to bayesian statistics and I must say it has given me a different perspective to analyzing data especially when dealing with unpredictable data or unknown data.