Вернуться к Bayesian Statistics: From Concept to Data Analysis

4.6

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Оценки: 1,870

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Рецензии: 486

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....

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.

Jun 27, 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.

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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: 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: 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: 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: 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: 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: Georgi S

•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.

автор: Jorge V C

•Jun 02, 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.

автор: John H

•Jun 27, 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.

автор: Jose P C

•Nov 07, 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!

автор: Yiwen

•Jan 25, 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.

автор: Jonathan H

•Oct 06, 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!

автор: Sudhir K P

•Nov 16, 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.

автор: Gabriel

•Jan 09, 2017

Very nice introduction to bayesian concepts and rationale. With this course I could understand why should I spend more time learning this technique (which I will definetly do on sequence).

автор: Flavio L

•Oct 30, 2016

Amazing course ! Excellent. Prof. Herbert has a great didactics, the material is clear and very well planned, including the assessments. Thank you very much. Flavio Lichtenstein (Brazil).

автор: Ming L

•May 06, 2018

I like the course and how the questions are designed. I wish it can be accompanied by a booklet of transcripts of some sort. Videos are good, but so are traditional reading materials.

автор: Manos T

•Jul 19, 2017

Exceptional course on probabilities and statistics from a Bayesian point of view. I would recommend this course to anyone wishing to learn more about probabilities and statistics.

автор: Magdalena S

•Dec 07, 2016

One of the best courses I took to date. Paralleled only by ML (by Andrew Ng). Non-trivial assignments, focused on practice, well-explained concepts in readings. Truly impressed.

автор: Jaime E A T

•Mar 08, 2019

I recommend this course for anyone interested in learning Bayesian statistics: You can start here. It covers the core concepts as well as some computations using R and Excel.

автор: Deepak K

•Sep 17, 2017

Very well structured course. Problems and quiz are real life problems, and it's challenging and rewarding to solve them. Thanks to Prof. Lee for delivering an awesome course.

автор: Ignacio

•Mar 13, 2018

Very useful course to get an understanding of the ideas behind Bayesian statistics and Bayesian inference. Not your course if you are looking for applied Bayesian inference.

автор: Mohan N

•Mar 03, 2018

Alot of information, concise and clarity is awesome. Would recommend this course to anyone. And I did too. Great, professor. My only suggestion is to speak a little slower.