Ratings and Reviews for Introduction to Data Science in Python

I learned a lot about Pandas having this class being my introduction to it, but needs to be upgraded. And not only did I learn about Pandas but also about troubleshooting code which also led to a better understanding of Pandas.

The video is simple, but the assignment is hard, I spend a lot time in discuss to understand what it want and external document reading, how to use pandas or python and hypothesis. in the time pressure. BTW, I think the value of assignment is 90%, and video is 10% in this class.

Best for learning handling data in Python...just do the assignments honestly using StackOverflow suggestions.

Some of the assignments could have been more explicit about the expected output. But, otherwise very hands on with some messy data.

Good courses and exercices but difficult to submit sometimes

Particularly good for learning Pandas

Overall: I felt this course was useful but pretty time-consuming. The course had relatively limited taught material and relied a lot on searching & self-studying. If you have a fair amount of time it is a good choice. Pros: You learn through doing assignments which are well supported by mentors/community. Also, you get used to studying through googling problems and learning from websites such as Stackoverflow. Cons: Whilst this learning method definitely had its merits, it could be quite time-consuming for someone seeking to gain introductory-level skills quickly. You could find yourself in situations where you spend hours searching for something quite elementary and could easily have been taught to you, which could be frustrating. I personally think this course could be improved by adding a bit more small quizzes for beginners to play around with the basics, before requiring them to self-learn through searches.

For me it has been a very interesting course with really useful exercises. The course videos and notebooks were helpful alongside all the documentation available in the internet like pandas documentation and also stackoverflow. Now I am able to use pandas or find my way with it comfortably.

This course deserves your time if you want to learn about cleaning and manipulating data using python libraries numpy, pandas, ...

Thanks Professor. I have learnt alot