Ratings and Reviews for Introduction to Data Science in Python

The course is well detailed and I enjoyed it. But I felt like there should have been more examples to explain distributions in week 4 as there was theoretical explanation and article to understand concept but practical makes it more easy to grab the concept.

the assignments were really good and the final project was based on real world experience.

Good Learning opportunity

The lecture is so compact that does not tell us all the needed details. The assignments are just too much work, and we are expected to find everything by ourselves... Not recommended to newbies.

Very useful course who are interested in Data Science. This is gonna be a very good start.

Course contents great. Autograder and notebook not so good as pandas version is outdated.

The assignments are challenging and thus rewarding after hard work. More explanation effort can be invested during the lecture would make the course perfect, I think.

Only giving this course 5 stars due to the structure of the assignments. They really implore you to go out and learn on your own to solve the problem. The videos themselves i found subpar, the lecturer talked too fast and didn't show enough coding or example to really grasp the concept.

This course is simple approach to one of the most sought after skills in the world. Would highly recommend!!

I believe that this course is one of that courses that make you realize what you are stepping into, My expectations were hurt because i thought that Data Science was more math involved and had awesome statistics involved, oh boy was i wrong. The course majorly deals with data cleansing and copying a lot of code from stack overflow. if your python is not good please don't take this course otherwise you will get frustrated. If you have planning on taking this course be prepared to be grilled this course will require perseverance. And most importantly the lectures ,they don't help!