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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

This course is no good. Unable to run the assignments at my comfort. Half the time there is some issue in submitting the code in jupyter and with hard pressed timelines at work this does not take me anywhere. As a data scientist with little programming background, it is difficult to enable our journey with this course. Sorry to say. This is a big disappointment for me.
Lectures were good intro into the material, but the forums had the most needed info.
Very practical assignment to hone skill in data frame and regex operations. However I don't like the monthly subscription payments, which is inflexible to my schedule.
Very good course to use it as an introduction!
In conjugation with learning from the Python for Data Science book this course is a nice introduction to the topic. I would say there is too much scope to pass the course with bad code and not learn much. It will take self discipline to not accept whatever works and learn the general aspects taught. There is a large degree of independent learning required which means that to get the best out of the course requires dedicated time exploring. If I didn't have the book I may have felt lost. The discussion forum contained key information a rushed student may not have picked up, however it is a testament to the mentors that this became readily available along with their support. This course could have done with some peer review to allow code comparisons to check quality, methodology and readability without breaking the honor code.
A well taught and challenging course. In completing the assignments and projects, it took real effort. I feel I really learned a lot in this course.
The course structure was very good! Assignments were exciting although a one or two questions were not so clear. But the discussion forum was awesome and helpful!
Hard course, but extremely helpful. Good work with pvalues at the end. Tricky assignments. Coming from R, I wanted to learn python dataframes, and I definitely feel I got a hold on python now.
very nice couse ...course material is good enough to learn new things
quite practical

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