Ratings and Reviews for Introduction to Data Science in Python

Great Assignments, Great learning, but requires good "prior" knowledge of Python and Pandas. This is more of a refresher course in Pandas.

The assignment materials in the 3rd and 4th week need a SERIOUS make-over

The course is very good , it really helped me alot

The aim of this course is to help us get familiar with pandas. If one has already been quite familiar with functions in pandas, this course could be too simple. However, as someone who is just new to pandas, I have to spend quite some time getting familiar with those functions so that I can finish the assignments. This course really helps I think. As I moved along the course, I really find myself more familiar with the design logic of pandas and gradually work more fluently in assignments. Besides, the mentor in the forum is so helpful and has provided lots of hints to help us move forward. I'm really grateful to it but still suggest that new students should really work hard on our own before skimming the forum, because some hints somehow cross the line.

All the topics are well framed and handpicked for beginners. Thank you coursera.

A good course for the data preprocessing and getting used to the NumPy and Pandas library in python. An overview in provided in the contents and video lectures but the refrence books are very much helpful to understand the course.Also assignments are very good.

Interesting perspectives on data from knowledgeable professionals, but lacked some hands on learning that I was expecting. Timelines to complete technical assignments were ridiculously shorter than the actual time it took to complete them.

Lucidly explained the basics of Python programming. Made it easy for a newbie of Python programming.

Very useful!

I like the course very much , though for me it is a challenge, but i do like it ,i can learn a lot of skills here .