Can not reproduce the results from the codes, and no helps gotten either from the forums nor reply from instructors (through email).

The course is taught in the most awful way - the teacher is reading notes that are displayed on the screen. But the materials provided, which are the notes themselves and tones of Python-Jupyter code are mostly great. I ended up reading the notes and scrolling through the (very short) videos, played at 1.5 speed. I've learned what I was hoping to learn.

Good introduction to the topic. Thanks!

Would like more.

amazing, nice material, well explained

Great Course

Great capstone providing useful practice and tools for applying the concepts.

The course materials are actually alright, but the lecture doesn't serve what I consider to be its core function which is to provide intuition and summarize complexity with simplicity. These lectures don't even contribute another angle to the material, they are just read verbatim from the course materials so the experience is more like text-to-speech than another human trying to communicate new and challenging ideas to you. I'd only take this course if you are comfortable with full self study on a subject

Will teach you a lot about Bayesian statistics, but often times the code is not well suited for beginners. Especially the final project. They give the code to do it, but a standard logistic regression problem would have been better suited rater than a differential equations model with various classes.

Coding evaluations don't exist as promised, the more advanced content regarding MCMC diagnosis and applicate bayesian inference is just thrown away without good explanations