Ratings and Reviews for Fitting Statistical Models to Data with Python

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.

Overall this course was okay at best. It DOES NOT lack depth nor are the notebooks poorly explained. Many high level mathematical concepts are covered in this course and it is not shallow at all. The python notebooks are robust, and are excellent examples of statistical coding. But it badly lacks a bridge to take the student from simple theory to high level theory, the lectures are very poorly designed and are just bad at transmitting the subject content, critical explanations of terms and mathematical processes are lacking, and I had to google many intermediate statistical concepts and explanations just to understand what was going on; this is not a course for people with no statistical and probability background I was really disappointed with week 3 and 4 of this course and only managed to learn a few basic lessons despite being able to pass the quizzes. I would recommend that they take out course 3 of the specialization and only add it back after revising and revamping course 3. 17/3/21