awesome, wonderful. its helps all sort of people. like novice to expert . super
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Assignment 4 Question 5 is difficult.
The assignment user's interface is not easy to use.
Great course, but some virtual environment issues made it difficult to complete.
The assignments are very difficult and when you submit you do not get a proper review where are the mistakes. Not recommended.
Great course -- might be a bit challenging for people without any programming experience.
The selection of topics is pretty good. Besides that, the videos are more boring and less friendly than similar free material available in Youtube. Also, some of the graded assignments have bugs, so you will spend some time trying to get around them.
Very well-designed and balanced in terms of the course load and material selection. I just want to suggest adding more tailored tips and feedback after completing the material each week.
A great course! Solid content. Assignments helps you explore and consolidate what you learn.
The autograder could be a bit of nuisance but check out the discussion forums and you should be able to resolve the technical problems yourself.
I've learned a lot in this course. Nevertheless I only give it two stars. Here's the reason.
In the last few weeks I've spent an incredible number of hours researching details on the Pandas library online and trying to solve the tasks and conquer the autograder. I already knew quite a lot about Pandas before starting the course and I've had a good knowledge on Regex beforehand. But I really stood no chance to solve the assignments in the recommended three hours. It always took me at least five, in the case of assignment 3 even more than ten hours. Now I'm stuck with assignment 4 and despite having invested a lot of time I'll just give up feeling frustrated on confusing instructions, time consuming data cleaning and too difficult tasks for my level and somehow feeling not smart enough to finish a course labeled as "Introduction"