Ratings and Reviews for Fitting Statistical Models to Data with Python

this course consist of very important topics , they give you an overview of these topics and you have to dive in . some information hard to understand and other easy . i enjoyed learning this course

The final course was definitely a step up in terms of difficulty from the previous two courses. The assignments aren't that hard, but lot of the material are discussed without getting into depth, which makes it difficult to really get a good idea about the inner workings of the statisticsa methods used. I wish the course developers planned the specialization to be a 05 or 06 course specialization, so that the materials covered will be well spread and learners will be eased into the new concepts. Giving a low rating owing to the structure of the course.

Great course ,I learned a lot from it

This course is very good

Does not explain in depth. Lecturer should explain more in details to help understanding clearly.

Excellent, the explanations were perfect and its theorical focus was the thing why I loved this course.

the focus only on statistics not python which I think is the main reason for every one who enrolled in this course, it was even too much fast for statistics and very poor python assessment and tutorials, I don't recommend this course to any one.

It was very technical and a lot of the mathematics behind the models were not explained properly. The codes were also not explained properly

Overall, this course clearly conveys the general ideas about model fitting. The python labs of week 2 and 3 are helpful. However, the materials for week 3 and week 4 lectures are not as good as others in this series. I understand that the author tend to avoid confusing learners with complicated math. Unfortunately, jumping to piles of conclusions without any necessary justifications leaves learners lost.

Amazing course! Really good.