The assignments were far difficult from what was taught in the course. Significant amount of searching the web had to be done for finding syntax. It will be helpful if a helping hand is given in the form of most probable syntax that can be used in the form of pdf along with assignments. The syntax in the assignment were far more sophisticated than those taught as part of the video. Thanks.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Everything is good just please provide a writing summary pdf/short notes of the skills taught after each week.
The course introduces very basic skills to Data Science using Python. In my case, the most important one is to use Pandas. I think Pandas is one of the most important tools. Therefore, I prefer Week 2 and 3 than week 4.
Muy buen curso. Sin embargo, hay bastantes problemas con el corrector automático que causan muchos quebraderos de cabeza innecesarios. Pero salvo eso, es muy recomendable.
It is a very good course. If you are not very experienced in python it will demand you to read a lot before finishing every assignment, which is great because you learn much more.
Learned a lot, but mostly by self-learning when doing assignments.
A great course! Assignments can be tricky to solve, but are rewarding.
Lectures spend a lot of time on watching a person talk to a camera. Projects are pretty good, though auto-grader is a pain to debug. TA & Moderators are excellent and so is community taking course.
Very good course.
The instructor just reads the notes in front of the camera. The lectures are boring and uninspired. I do not recommend this course