Ratings and Reviews for Introduction to Data Science in Python

Very good course.

Very usefull

Fantastic introduction to data cleaning, manipulation, visualization, and analysis with Python.

I felt that there was very little hand-holding in this course. I think there was good and bad from that. On the one hand, I think it could have been more helpful if the lecture content more directly correlated to the assignment questions. However, I definitely think that learning to utilize the internet (stack overflow etc.) is an integral part to coding in any language in today's landscape as well. So there is something to be said for that for sure. Overall, I think I learned a lot of valuable skills in the course and I'm looking forward to continuing the others in the specialization.

Great course for newbies

Great course, although not for beginners, i definitely learnt a great deal as one. I guess i'm not a beginner anymore

Very helpful for getting familiar with the Pandas package

It was hard and I could not have passed nor learned much except frustration if it had not bee for Sophie Green (TA) superb support. I could not start the course on time but the first week was easy. So I was surprised by the work excepctation from the 2nd week. Also it did not match what was forcasted by instructors. 2h --> 10h, 4h--> 20h... and I'm not count the night thinking of ways to solve the problem. I think that difficult comes from the expectation that documentation is understandable by newbies. Also question were often tested on type but the expected type output was not mentioned in the questions. Finaly, I think personally would need to learn how to debug properly a python program (going step by step in it) Hard and challenging. Thank you Sophie

Among more than 20 MOOC followed, I guess this is the worst one. I won't repeat here the arguments of other learners.

Perfect course. I have learned more about python in data science. Exercises can be really helpful!