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
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.
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.
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.
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.
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.
The workload is manageable however the homework is somewhat challenging.
創建者 Hassan S•
Not well organized.
No sufficient materials, references, etc.
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.