Back to Bayesian Statistics: From Concept to Data Analysis

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3,156 ratings

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....

AO

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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!

AH

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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.

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By Damir M

â€¢Apr 9, 2017

A bit too short.

By Marjan H

â€¢Jan 3, 2021

I expected better teaching quality. The instructor is undoubtedly one of the bests in his area, but I personally did not like his teaching in this course. I felt he knows a lot of interesting concepts but intentionally does not teach them. The whole course was like somebody was reading from a textbook without adding any comments for students to actually grasp the concepts. In general I liked the course but I expected to learn much more from it.

By Patrick K W

â€¢Jul 28, 2019

It's alright because it gives you an overview of what is covered in a Bayesian Stats class, but the material is presented quite poorly and I had to do a lot of second hand reading to answer the questions. It is not particularly enlightening even and the formulas are presented without proper grounding, context, and intuition. I can recommend this only for dedicated self-studiers who already have some sort of grounding in Bayesian reasoning.

By Jose J

â€¢Sep 19, 2022

Bayesian Statistics is an essential course for anyone working with data. THis course will provide some introductory concepts and proofs. However as the course progresses to week 4 explanations are rushed or nonexistant.

Compared to other courses like from deeplearning.ai this course is not well maintained with poor quality of instruction and exercises. It feels like a wasted opportunity.

By Vinod M

â€¢Apr 26, 2021

Week 4 explanations are just theoretical where professor is literally not giving any intuition and rushing through the concepts with equations which did not make any sense to me. Till week 3 I could kind follow. I did this course with the intend of giving a based for Machine Learning study and I am an thoroughly disappointed the way it ended up.

By Daniel W

â€¢Aug 31, 2022

The topic is very important, but the lectures are sometimes like reading wikipedia and rewriting it on the blackboard. It lacks intuitive examples and analogies. It might be OK if somebody already have really strong statistician background and intuition. Otherwise it would be really tough to catch up.

By Dennis R

â€¢Dec 31, 2020

Good content. However, way of presentation is not very engaging. Presenter's voice very monotonous and free of any engagement. In my opinion, scribbling formulas to the board does not make a helpful learning experience.

By Deleted A

â€¢Jun 23, 2021

Unsuficient explanation.

Lecturer just writes formulas without trying to explain background concepts. It is like reading a book of statistics. No way that most of the students will understand it.

By Jorge P

â€¢Feb 2, 2017

Some matters were just given formulas and there was a lack of practice. The course should cover less materials or be longer to be effective in teaching.

By Brett B

â€¢Sep 7, 2020

Disappointing. Hard to follow, as concepts are not fully explained or linked. Steps in equations are often skipped without notice.

By Mehrdad P

â€¢Jul 3, 2019

it was an okay course, I liked that they used R occasionally in the course, but I did not like how the concepts were discussed

By Fabian K

â€¢May 1, 2017

Not very much in depth and does not offer complete lecture notes, which are necessary for answering the quizzes...

By HEMLATA J

â€¢Aug 29, 2020

Dear Sir, My assignment Quizzes are locked and i am not able to unlock that. Kindly unlock it and help me out.

By Mario R H

â€¢Jul 12, 2020

Materials could be more "worked". Blackboard Classes does not explain all what they should.

By Nick T

â€¢Jun 22, 2020

Ok overview, but not detailed enough to get a thorough understanding

By AliAkbar G

â€¢Aug 16, 2020

I don't learn new things. It wasn't as good as I expected.

By Hanspeter A

â€¢Dec 26, 2023

Right off the bat I disagree with the instructor, or at least am disappointed that his explanation of the rain or no rain example is lacking. It's either goin to rain tomorrow or it isn't. So, assuming there is no prior knowledge of the weather tomorrow, there are two possible outcomes, either rain or no rain. The sample space is 2 so the probability of either is 1/2. How does he come up with a sample space of 5 and a probability of 1/5 and 4/5. At least do a better job of explaining the reasoning. Gives me no confidence that the rest of the course wont be just as bad.

By Sina A N

â€¢Nov 27, 2019

I would have given this course a zero rating if I could have. The worst online course I had so far. There is no intuition of the subject provided. The instructor just looks like reading from a text (like a robot) and write some equations without enough explanation. There are many Youtube videos available for free that explain concepts way much better than what is available here. Don't waste your time. Reading a book and watching those Youtube videos would help you more.

By Hesamedin G K

â€¢Sep 9, 2022

If you are here to understand why and how, you are wrong. Please go and watch the YT channel StatQuest. This course has the intermidiate level, thus there are zero explanations why and how the things are the way they are. To understan some of the ideas and topics of the course, I had to go through the discussions and forums. This is wrong.

By Jakob V

â€¢Jan 29, 2017

I have studied some Bayesian Statistics before. I feel like the materials itself is not sufficient for entry level, and will actually confuse some of the learners. Anyway, this is just my two cents. :)

By MASSIMILIANO R

â€¢Oct 3, 2022

Another boring and useless stats course which focuses on outdated examples and bundles it with a whole lot of useless maths instead of focussing on the real deal. Garbage.

By Rahul R

â€¢Sep 22, 2020

Instructor hardly spends time in discussing the concepts. Too much focused on example but without context it does not help.

By Angelos R

â€¢Mar 20, 2020

The teacher has diminished educational qualifications. The topics are simply outlined without further elaboration.

By Caroline C

â€¢Jan 17, 2021

I needed to rely on other youtube videos explaining these concepts to progress in this course

By Nguyen T P V

â€¢May 4, 2020

I can not complete the course since the quality of the video is very bad