31 août 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.
16 oct. 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
par Yuzhong W•
3 oct. 2016
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.
par Damel L•
29 nov. 2019
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...
par Olexandr L•
1 juil. 2017
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
par Jesús R S•
19 juil. 2017
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.
par Silvia Z•
8 mai 2020
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.
par Borja R S•
25 avr. 2020
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.
par Ran W•
25 juil. 2020
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.
8 avr. 2020
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.
par Augusto S P•
24 sept. 2017
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.
par Oliver B•
1 juin 2020
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..
par Pranav H•
1 juil. 2018
The course could have given more information on tiny details which can confuse people during the exercises. But overall a good learning experience
par Ángel L•
4 juil. 2021
It’s ok to have a theoretical basis about Bayesian Statistics, but I missed some practical cases using Python instead of R. I also missed PYMC3
par Kathryn L•
23 juil. 2021
It's a nice introduction to the topic, but I often found the lectures to be imprecise or inconsistent, especially with respect to terminology.
par Alessandra T•
29 juin 2017
We still don't understand how Bayes differs to Frequentist... A worked example comparing the two at the end would have been nice.
par Ken M•
1 mai 2019
It would have been great if more graphs had been provided, for easier visualization of the e.g. distributions, or concepts.
24 juil. 2019
It would be better to add more explain about those equations and connect the math stuffs with the real world samples
par Max H•
14 juil. 2019
It would be much better if there was a more sufficient introduction to the various distributions used in the course.
par Victor D•
9 juil. 2019
Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.
4 mai 2020
Good course!!... Additional examples of real life explained and done in R or excel will make it great
par Andres F P A•
18 juin 2021
A lot of formulas and not that much interpretation. It is a good start in Bayesian concepts.
par Binu M D•
21 sept. 2019
Too much theoretical than practical applications. No need to give both R and Excel videos.
par A A•
26 nov. 2018
Would have liked more problem solving and real-world application examples.
par YIHONG J•
15 juin 2020
The workload is manageable however the homework is somewhat challenging.
par Hassan A•
11 mai 2020
Not well organized.
No sufficient materials, references, etc.
par sokunsatya s•
31 mai 2018
Overall, it's Ok. but the explanation is too short and incomplete.