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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

I really strugled with the course; especially assignment. There is a lot of talking and little time is spend on how the code is working. I feel anyone who is already a programmer in another language might be finding it easy follow the chapters. I was very difficult to complete the assignments - Most of the time it felt totally outside of what has been discussed till then. (Out of syllabus)
The assignments were a bit difficult. It sometimes demotivates when the going gets tough. Was able to crack it in the end though
it's awesome
The course was fine, but the last assignment was too hard for me. And I think that for Introduction to data science - the first course in the series it shouldn't be so complicated.
It is a great introductory course to Python use in Data Science.
Excellent material, bit tough for beginners but excellent way to learn data science with python
This is an excellent for those who want to learn python pandas. The course content is really good. The assignments are really helpful and they truly covers what is taught in the lectures. Had fun going through the video lectures and solving assignment. Though, in the last assignment 4, if a little bit of data description was added, it would have been good. Thanks for making the course and helping providing the content through Coursera.
Sometimes I just don't know which part of my answer is wrong and why it is wrong
Personally I am rating this course at the lowest level possible. Here are my reasons for doing so: The course videos do not teach you much. The video lectures are super condensed and lot of information comes your way and actually trying that out on Jupyter notebook on the side easily takes 5-6 times. When you get down to the assignments, you will realize that videos only scratched the surface of the topic and in some cases some of the concepts to be used were not at all discussed in the videos. You have to learn by yourself, and your best friends are StackOverflow, Google, Python and Pandas documentation. Once you have researched and spent hours putting together the solution to assignments, you will spend more hours struggling with the autograder (At this moment, I am stuck for over two weeks with the autograder at Week3 of the course). If you get the autograder to work then also all you are just going to get pass/ fail result and there is no actual reinforcement that the way you tackled a problem was an efficient way of doing so. I would recommend this course only to someone who can spend 25-40 hours each week just studying for this course.
Great content. But some assignment questions are not that clear and might cost you more time than its worth. And feedback from mentor is not that responsive.

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