Ratings and Reviews for Introduction to Data Science in Python

I found that the videos weren't entirely helpful when tackling the assignments. I had to outsource most, if not all, of my inquiries to external sources (read: stack overflow). Even simple things such as advanced indexing, such as multi-indexing, was unclear. I understand that not everything can be covered, but I feel that basic things should be. Other than that, I enjoyed using the Jupyter notebook, and thought this was integrated very nicely into the coursework.

The course was helpful in presenting typical problems in data science, but the lectures showed you examples in one area of pandas and the assignments asked questions in different areas of pandas. I found the assignments frustrating and spent much of my time trying to understand what they were asking rather than actually solving the problems.

Excellent course. It really motivated me to work very hard to make all assignments on time

I enjoyed and found all of the lectures helpful, but lack of feedback after submitting assignments was a real problem, especially for the last assignment. A simple response of "this was answered incorrectly, points not awarded" isn't very constructive and was often frustrating. Bugs in being able to submit the assignment were also frustrating. I spent a good amount of time trying to fix my code, thinking it was incorrect, when in actuality the online submission was just not working.

The course content and assignments are pretty good at covering the fundamentals of how to manipulate data in python, I did learn a lot that I can see my self applying practically. Where it falls down though is the assignment auto-grader. It's immensely fussy (as I understand it has to be), but the assignment instructions are often very vague and don't sufficiently explicitly define whats expected. This means you spend more than 50% of your assignment time debugging and recasting objects and getting very frustrated whilst doing so. I would recommend this course, but I do hope that the course administrators pick up on this feedback and make the assignments clearer in the future.

An excellent course, though I think some of the assignments should be a little more guided

From my poitn of view more lessons are needed, achieving exercises require a deep search on stackoverflow and other courses. That shouldn´t be the goal of the course, I expected the lessons to give enough knowledge to fullfil the questions of the exams

Is challenging and you learn about a bunch of different aspects of pandas. Never forget to take notes about what you are learning and review them later.

It provides plenty resources and requires a lot more effort from the learners of point of view.

Great course in hands-on experience with Python on data analytics. Before the class, I took a intro class to Python in my school covering basic commands, and thought this Coursera course would be kind of easy. But it turned out to be a very intensive one. I take more than 6 hours to complete the homework.