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
автор: KUMAR G•
This course has well structured content. Quizzes are also designed in sync with the course. Enjoyed it!!!
автор: Sheng J V A•
The bite-sized arrangement of individual videos are very conducive for learning and self internalisation.
автор: Soren J•
Excellent course. More R examples. Looking forward to see a course on pymc3 or Tensorflow probability.
автор: Xiao W•
This is an excellent course but you will need background in calculus and some statistics to begin with
автор: Edward B•
Excellent! Clear presentations, very bottom line up front with transparent examples, good course.
автор: Stephen S•
I thoroughly enjoyed this course as I found it to have a good mix of background and application.
автор: Julio C L J•
It was an excellent course. It´s a very good introduction to the Bayesian approach to inference.
автор: Sean E•
Great introduction to Bayesian Statistics with some easy-enough-to-follow mathematical insights.
автор: Felix S•
Great intro to Bayesian Statistics if you have some stats background in the frequentist domain.
автор: Duke W•
Excellent introduction to basic Bayesian analysis and coverage of conjugate priors/posteriors.
автор: Arnaud D•
Excellent course ! Full of examples and very useful to a deeper understanding of the domain.
автор: Mark C•
The presentation was excellent. The quizzes were reasonable. This was a good use of my time.
автор: Kristy A G J•
For me, the course was well explain, the examples used help me to understand in a easy way.
A good course for introducing to Beysian pobability. Easy to understand and very practical.
автор: Eliott L•
Very clean and precise explanations as well as concepts explained under different paradigm
автор: Daniyar M•
refreshed university materials and also gained deep understanding of probability theorems
автор: Igor K•
Very gentle and at the same time mostly rigorous introduction into the Bayes probability.
автор: Daniel J R V•
Great course. Delivers what promises: Bayesian Statistics: From Concept to Data Analysis.
автор: Bruno M•
I liked the way it was taught, It's nice for who is looking for to expand data analysis.
автор: Samrat S•
Awesome.. Good overview, but the concepts are much deeper, the second part is also must.
автор: Sariel H•
If the tutor could further clarify normal prior in Week4 Lesson 10, it could be better.
автор: Somnath B•
Very helpful and extremely educational. One of those rare courses I actually finished!
автор: Edit T•
A well-designed course with sufficient support materials and useful practice exercises.
автор: Deepanshu P•
Very well structured and informative content. Also the delivery of content is amazing.