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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

The assignments are fine, they are pretty tedious at times, but it is this kind of situations that forces me to self taught myself. Something really bad about this course is the lectures. They assume we know everything, I wouldn't be able to follow if i haven't done python in data analysis before, g, so they go fast and doesn't explain how everything/every function works. But if they assume we know everything, there is no need for the lecture videos. Just give us the assignments and just ask us to look at stackoverflow. The videos are 90% useless.
The pace was of the course was too fast
This is a good course for practical hands on data in python. Good learning on map, apply, groupby, merge, data slicing, subsetting data, datetime, bin. creation Should include datatime & cut in the assignments. Thanks, Suman
Very Nice
Course was good, as it gave overview of basics, but I think, more could be taught.
Good
Thank you so much!
Course structure keeps me linked to real time data analysis
This course is very interesting.. I have learned so many things related to machine learning and programming.
I learned a lot about data handling and manipulation in python, pandas and NumPy. But I feel the course instruction was too fast to follow up, even to a python coder like me. The course expected one to learn a great deal of part from your own rather than relying on the video lectures. The assignments and quizzes were very challenging, pushing you towards your best. To conclude I think the instruction couldhave been much better.

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