Ratings and Reviews for Fitting Statistical Models to Data with Python

Great course. In my view, the lectures were too long and the assignments a bit easy. But, overall, great course.

Very good statistics!

Excelente curso.

The code examples may be more precise with detailed comments. Some codes are not understood, in other words codes can be refactored in a way that can be more suitable for reproducible studies.

I do not feel like this course had given me great knowledge, there is a lot of theory and almost none practice of python, specially in the last two weeks. Topics are interesting and they are good as an opener to learn statistics but there is not enough python about them. I am disappointed on this specialization (specially on this course), I only finished the course because it was the one left to complete the specialization.

python codes were pretty tough to undertsand in the end but the concepts though difficult to understand the faculty did there best possible to make it understand. Python codes should have got little bit more time to be explained

I think the notebook walkthroughs, while useful, could use some extra reinforcement in the statistical concepts

Good for advance topics like Marginal and Multilevel modelling. The Bayesian model could be explained in a detailed manner by providing more python assignments.

In my opinion, I think the course is not as good as the first two courses of the specialization. The explanation of the python libraries from week 3 and 4 are very poor and should be improved. However, the theoretical regression section is well explained and carried out.

Excellent course! Thanks to the instructors and the team made this MOOC.