Assignments are very good.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
I love this course. It is really nice, and get you from the basics to thinking and working in a really professional way with python, makes you develop your skills and practice a lot. And gives you a lot to think and makes you try hard to find your own answers.
You should break assignment into smaller substeps. You should also provide more comments like 'your dataframe size is incorrect or starting from which line you result has error'.
This is good course as a whole, but lecture videos are a little short for assignments and sometimes assignment's definition is not clear. So it's hard to complete assignments without the help of discussion forum.
This is a new user friendly course. I learnt the skills needed to fulfill basic data manipulating project from almost zero and felt a great sense of achievement when I eventually finished the final project.
Auto grader needs to give more feedback. Too many things to learn by yourself
The assignment is quit hard and students need to do a lot of research to pass. But you can learn a lot of things through this process.
Challenging course. Worth the time and effort I put in. Instructor and the material is excellent.
One suggested improvement could be the guidance for assignments could be tagged better. It takes a lot of searching before one can find the right material. Both Sophie Greene and Yusuf Ertas provide excellent support. But if the guidance or tips can be made easily disoverable, it would save a lot of time.
Highly recommend.
Value of the course is mostly about personal research and work to complete weekly assignments (whose allocated time is vastly under-estimated). There are some useful examples in the videos but the course would benefit from developing a more explanatory teaching framework to understand and navigate Python. TAs were awesome to support and coach during assignments.
The assignment wordings are ambiguous. Clear instructions are needed with a sample of the end product showing data type/format/shape.