Ratings and Reviews for Introduction to Data Science in Python

I have found some issues with the grader where it inputs correct results in the assignment, but the grading keeps failing.

The assignments were quite tough and challenging.

It was quite good.

I LOVED the content but the assignments were WAY too hands-off for my taste. The lack of video explanations for how to go about approaching the assignments, and lack of written instructions, lead me to feel like I was spending hours upon hours teaching myself instead of learning from someone. That may be a great way to teach but it is very time-consuming and not ideal for busy students. My other gripe was that the automatic grader was very unforgiving for even slight variations, e.g. I spent approximately 2 hours converting my PeriodIndex values for assignment 4 from pd.Period('2001Q3') to strings in the form of '2001Q3' and then had to lowercase the 'Q' to 'q' before I received a passing grade which I felt was a large waste of time.

Best Course

Assignements are awfuly messy written. You spend way more time on trying to figure out what the author of question had in mind than on working on your Python coding skills. The instructions are unclear and You have to dig trough the forum to understand what You have to do. What's more, even teachers that help on the forum agree, that instructions are unclear. It's even more frustrating if You realize, that if someone from University of Michigan spent a few hours on making the instructions clearer, then thousands of students woudn't waste millions of hours inefficiently.

Even after taking the beginning course before this, I felt like this course assumed you knew python beforehand.

太难了8

The material is fine. However, the reason I rate it so low is that there are no practice problem that it walks you through. It gives you assignments and expects you to go and solve. I know how to search for random questions with Stack Overflow already. I was looking for a detailed course on how to do it; not just talk about it.

Super!