Ratings and Reviews for Introduction to Data Science in Python

frustrating. there's no reason hidden tests shouldn't be part of validation. it's annoying

Really impressed by the material and quality of instructions to teach this complex topic. I felt the assignments were appropriately challenging to apply concepts taught in the lecture. Well done and thank you!

you end up learning a lot by the end but the assignments require a lot more self-learning than what was provided in the lectures.

I really enjoyed this course. The material was intereseting and for me as a beginner in data science topics seemed perfect. The assignments felt like real life tasks. The course structure kept me motivated and focused, good balance of videos, reading tasks, quizes and assignments. I liked the lecturers also.

will get back to this course

Assignments often only accept certain solutions and go beyond what was taught in the class. Otherwise the course is pretty good, but you will spend hours after hours stuck in the assignments.

This course really needs to be reviewed and updated. It’s very clear that the instructor is an expert and has a commanding knowledge of data science and python. But the approach is far too academic and not really “introductory” at all, therefore the certificate you get doesn’t represent the effort put in. My biggest critique is there are not enough exercises in between material to solidify the concepts before adding more. Also, most lectures are too concerned with rare exceptions, and the underworking’s of pandas instead of showing the correct and common way of using pandas. Reminds me of all the time wasted at another Big Ten University spent listening to professors too obsessed with the underlying nature of the material to actually train the audience and impart useful knowledge.

Es un curso muy bien diseñado con tareas que siempre son un reto.

Good content to learn basics of python packages usage.

nice examples