Ratings and Reviews for Introduction to Data Science in Python

For some reason the format in which the lectures are organized lack a lot of tact and seem to be made with no pedagogic consideration whatsoever.

Although is a very nice course, it would be nice to start on easier programming basics. There are specific things that one's gotta' be inspired to be able to think on. Maybe adding a week before week 1, to introduce on certain syntax and intuition so we can put on practice what we learnt on the kernels since the content of week 1. It was so delightful and challenging, that I want even more. Thank you.

Would give this class a half star if I could. The material is covered way too fast and the assignments require knowledge of items not even mentioned in the class (let alone discussed). If you know the material well enough to get through this class, you don't need the class. The prof and TA refer to using Stack Overflow to figure it out early and often! Found this class to be a waste of time and money. I wanted to learn the material, but had to drop the class because I had no clue how to do the assignment after watching the lectures multiple times.

Thanks

Assignments and project were good and give you enough opportunities to self-learn a lot of data processing and cleaning tools. However the course video content does not really teach you much or in places, can leave you confused. Be prepared to spend a lot of time going through stackexchange.

very much interactive way of course conducting

I have no idea who rated this class five stars. The lectures do not prepare you for the assignments and the auto-grader will grade your answer as incorrect if you return a 17 dtype='float64' and they were expecting a 17 dtype='float'. Also, there's absolutely no feedback on your work except from the auto-grader, so there's no opportunity to go back and see a more elegant way of writing your code. I managed to get 90%+ for every assignment, but it was only because I spent over 10+ on the homework assignments for the last two weeks.

Very succinct and provided fundamental information. Moves quickly, but rewatching the videos helps.

This course is a mess: -Not well structured -They don't properly guide you in the learning process : better courses from better universities, as Stanford ones, describe all you need to complete an assignment, or give you a good and deep introduction to the libraries/framework you have to use... here they just explain part, non including many info you need in the assignment, so, you have to spend a lot of time trying to find proper documentation, reading other external tutorials, checking people with same issues in stack overflow -some even with the same datasets, I am not sure if they were from the same course A lot of stuff to improve, I recommend to you to look for another course

Very good