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Вернуться к Bayesian Statistics: From Concept to Data Analysis

Отзывы учащихся о курсе Bayesian Statistics: From Concept to Data Analysis от партнера Калифорнийский университет в Санта-Крузе

4.6
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Оценки: 2,504
Рецензии: 658

О курсе

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....

Лучшие рецензии

GS

Sep 01, 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 17, 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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101–125 из 646 отзывов о курсе Bayesian Statistics: From Concept to Data Analysis

автор: Jason R

Apr 08, 2017

I found this course to be incredibly useful to learn Bayesian statistics and a useful guide for applying the information in r and excel. I would definitely recommend it to anyone interested in furthering their understanding on this topic.

автор: Juan J O O

Jun 07, 2019

Excellent course. I learned late to use the note clipboard to take notes. At times the video lectures are hard to follow because the concepts are not easy. I had to watch the video lectures several times to fully grasp the concepts.

автор: Luca A

Sep 22, 2018

Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.

автор: Ayush T

Feb 18, 2019

It's really a good course for Bayesian Statistics. Exercises are designed in such a way that they can't be passed if you've not understood the topic completely. The workload is manageable and the course content is really well organized.

автор: Ghanem w

Feb 14, 2017

This course provide a very good understanding of the bayesian approach of the statistic. It is very accessible thanks to the learning material (pdf) provided before each lessons and which recall all the basis needed.

Thank you Herbie

автор: Syarif M

Dec 02, 2016

Definitly the best statistic course for beginners with some mathematical knowledge. Love the way the videos are recorded (Transparent glass between the camera and teacher) it should be a standard for online course! thank you so much!

автор: Howard H

Apr 10, 2018

A very solid introduction to Bayesian Statistics. Lectures were sufficiently detailed and of excellent quality, and the problem sets supported and reinforced the material very well. I look forward to taking part 2 of this sequence.

автор: Sergio D H

Sep 21, 2017

Great introductory course on Bayesian data analysis. The course is self-contained and the videos make a great job explaining the concepts of each lesson. I truly appreciated the practical approach either with R or Excel.

автор: Alejandro D O

Mar 03, 2020

Excellent course. Prof. Lee is a superb teacher. The balance between class, exercices and tests is well achieved. I would certainly recommend this course to anyone aiming for a first encounter with Bayesian statistics.

автор: Sandro P

Nov 21, 2017

Very interesting course.

For me the most interesting and important themes are about priors:

1) conjugated priors

2) effective prior size

3) how to choose a prior

4) non-informative priors

5) improper priors

6) Jeffreys priors

автор: joari c

Feb 10, 2017

Very instructive introduction to Bayes reasoning. By attending all videos and completing quizzes, you get a reasonable understanding of the concepts and reasoning. Thanks to prof Herbert Lee and all the supporting team

автор: Shiyang Z

Jun 12, 2020

This course is well-designed. A great introduction to Bayesian Statistics. I love the quizzes and short questions in the videos which help to understand the class materials. And the blackboard also looks cool haha

автор: KK

Dec 01, 2016

Although I only spent less than one week to finish the course, I think it is quite valuable if you are interested in statistical inference and want to learn more specific in Beyesian Statistics. High Recommended.

автор: Fabian M

Feb 20, 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.

автор: WU T T

Jan 13, 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.

автор: chenshuai

Aug 26, 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.

автор: Padmeswar D

Jul 09, 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.

автор: Vimos T

Aug 25, 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!

автор: Tobias .

May 01, 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.

автор: Paul J

Apr 06, 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.

автор: Naehyun P

Jan 15, 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.

автор: Medha A

May 06, 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!!

автор: Fabian S

Feb 17, 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.

автор: Raja F Z

May 24, 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.

автор: annalise s

Mar 25, 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