It is a really great course that forces you to rely on your ability to teach yourself, but has a great discussion forum that all students should be on to get the full understanding. I would like more feedback from the autograder and I would appreciate a bit more of a warning about the time estimate per week. Definitely 8-10 hours a week just in assignments. This is mostly due to the fact that the autograder can get you stuck, also make sure to use pandorable code because if you don't most likely your answer won't be correct. Overall learned a ton and can't wait to start the next course in this specialization!
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Very Helpful and the learning method is very nice
Ok-ish video lectures, but very great excersises!
One of the best possible introductions to Data Science! You'll end the course knowing how to really manipulate data!
Assignments are very challenging and they truly helped me get a good grip of the basics of coding in Python.
This is the best platform to learn new things.
Very technical course, heavily focused on working with data, oriented on self-study. It is more about Python how to deal with datasets in it, in the very end, you got introduced to t-test co make basic statistical test, without any underlying math concepts.
Get ready to visit official Python websites, libraries documentation, forums like GeeksforGeeks, Stack, etc. Assignments are hard but very useful, however, I would prefer more lectures on Python functionality, since course material does not cover much.
Correct the subtitles please
It expects the learner to understand fast which is difficult.
excellent