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學生對 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: From Concept to Data Analysis 的評價和反饋

2,602 個評分
681 條評論


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....



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.


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


626 - Bayesian Statistics: From Concept to Data Analysis 的 650 個評論(共 668 個)

創建者 Yuzhong W


The lectures from week 1 to week 3 are nice and useful to me, but I think there should be more details about the content in week 4. For example, I think the lecture about the Jeffreys prior skipped many things and I did not understand this concept very well.

創建者 Damel


Most of the support material should be prior reading. Lecturing could be more useful i.e. explaining ore about why we use certain distribution and how to apply them. Most of it as just reciting formulas and felt like a waste of time...

創建者 Olexandr L


It was quite difficult to learn from just the material provided here, and I had to look for info on the web. Also, adding modern real life examples and going into detail would make this course better

創建者 Jesús R S


Good course as an introduction to bayesian statistics if you want to pursue more advanced courses in the field or to get some practise working with distributions under the bayesian framework.

創建者 Silvia Z


In general, the course is useful, but in half of videos the explanation focused mostly on formulas, and less on theory. I personally had difficulty in learning theory of Bayesian statistics.

創建者 Borja R S


The teachers are clearly experts in what they do, but sometimes I think it is that same expertise that makes them jump to conclusions too easily, making it difficult for beginners to follow.

創建者 Ran W


This course gives a very brief background on conjugate prior. However, the lectures on Bayesian linear regression is too superficial. I wish the lectures could have gone into more detail.

創建者 Carlos


Too much time spent on the beginning and too little on later more complicated concepts such as the posterior predictive. It felt as if that was just a side note in the extra readings.

創建者 Augusto S P


The course is good for beginners in statistics. In my opinion it would be better to invest more time explaining different topics about bayesian regression and bayesian time series.

創建者 Oliver B


Solid mathematical grounding, but would have benefited from more time spent on the history of Bayesian inference, when to use it, why it can be used etc..

創建者 Pranav H


The course could have given more information on tiny details which can confuse people during the exercises. But overall a good learning experience

創建者 Alessandra T


We still don't understand how Bayes differs to Frequentist... A worked example comparing the two at the end would have been nice.

創建者 Ken M


It would have been great if more graphs had been provided, for easier visualization of the e.g. distributions, or concepts.

創建者 roger


It would be better to add more explain about those equations and connect the math stuffs with the real world samples

創建者 Max H


It would be much better if there was a more sufficient introduction to the various distributions used in the course.

創建者 Victor D


Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.

創建者 Isra


Good course!!... Additional examples of real life explained and done in R or excel will make it great

創建者 Binu M D


Too much theoretical than practical applications. No need to give both R and Excel videos.

創建者 A A


Would have liked more problem solving and real-world application examples.

創建者 Jyh1003040


The workload is manageable however the homework is somewhat challenging.

創建者 Hassan S


Not well organized.

No sufficient materials, references, etc.

Very short.

創建者 sokunsatya s


Overall, it's Ok. but the explanation is too short and incomplete.

創建者 aref h


better to come up with more examples and more mathematical details

創建者 Rajesh k


This course could be taught in better understanding way

創建者 Tawan S


For some derivations, the explanations are too sparse.