Ratings and Reviews for Fitting Statistical Models to Data with Python

A great course on how to fit models to data. Very rich on theoretical concepts and equally great on the practical aspects of using python to fine-tune your model, viewing the same each time as you modify data. Very fine course indeed

I think the content here is great and Mr. West is a wonderful teacher. That being said I do believe the multi-level regression model topics were quite difficult to understand and it did feel like some of the content was a bit rushed in week 3. It would have been nice to go over some non-linear regression as well as I did appreciate week 4 but I am not sure these special topics were as useful as the previous topics. Weeks 3 and 4 could have been used to dilute the content a little bit to go into multi-level regression a little bit more in depth and maybe look at non-linear regression. On a side note, I though the pdf files explaining linear regression and logistic regression as extra reading were absolutely fantastic to clear things up. I am sure the course would benefit from more content like that.

Very Very Good For learning Statistics

Excellent!

The most impressive part is Week 2 Linear and Logistic Regression model fitting, Professor Brenda is Brilliant! She has the magic to explain complicated and abstract concept into a very easily understandable ones. Thanks her a lot! Also I was impressive on Week 4 Bayesian approaches courses. Thanks Mark Kurzeja. I think He is a very qualified teacher and prepare for this course content very careful and take it seriously. He also gives a very clear mind to understand those abstract statistic concept! Overall, the series of Statistic with Python are impressive! You can really learn something useful and the course design is scientific. All teachers in all courses are very good!

Have given me CLearcut idea about Mixed-effects and Marginal Models

team work

Very nice course. Well explained kudos.

It feels like Brady is reading off the slides and squeezing in a lot of information in a 10-12 min talk. I would prefer the course slows down and would introduce a case example before jumping into models full blown. The slides look wordy. Circling out the numbers when they are mentioned in the talk would help students focus as well.

Excellent course, really enjoyed the section on Bayesian statistics.