Ratings and Reviews for Introduction to Data Science in Python

great stuff, modern and playfull

Python is huge. Course helps you focus and apply Python to data science. Me? was new to Python; was novice at programming; had strong background in math and business (both helpful, but not prerequisite); read "Python for Data Analysis" by Wes Mckinney to supplement lack of programming experience -- focused on numpy and pandas chapters; frequented stack overflow

The course is a must-do for a person new to Python, however it ramps up very quickly. I had done another python course before doing this, which helped me do this one. The assignments were challenging in my perspective; however cracking the exercises gives one lot of confidence. Forum discussions helped me a lot to complete the assignments

Perfect solution for those who want to dive into data science with Python.

Great course! real example to use pandas and numpy

This was a great introduction to the material which gave me enough of a background to start doing small projects myself. I didn't find the videos necessarily that helpful - I mostly learned by reading documentation and stackoverflow responses - but the assignments were well-structured and challenging. My only problem with this was that the automatic grader took some getting used to, and I think that the first programming assignment should have come with some basic notes about how to handle it.

Loads of material and can be challenging for beginners (not being smug, i am one and it was for me). Still learned a lot and would recommend if you are willing to put in the effort.

really practical course, with great assignments that really test your understanding of how to use pandas to process data.

I hope that such difficult "introduction" leads to the easy path in working. All in all - VERY HELPFUL COURSE. Morethanthat, tutors always ready to help you! Thank a lot.

This class presents some good information, but completing the assignments takes a lot of research on your own. I would've rated this class higher if the course material provided everything needed to finish the assignments.