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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

Thanks God I'm just after "P4E"-specialisation, but anyway it was difficult. Additional resources was needed through all assignment. Real help was/is/will "Learning Pandas'-book! 4-grade just for difficulty reason
Great material.
excellent material with a good flow in tutorial. great use of technology for teaching. Also, the involving exercises really test one's understanding. A wholesome experience over all!
Excellent way to start your goal to become an expertise in python
good
This course is a little bit hard cause you need to do some self training regarding python and pandas. Yet that's exactly what the real world is. So I accepted this style. The forum discussion for this course is very helpful to pass the exam.
Great introduction to Data Science! Thanks Professor Brooks!
great stuff, modern and playfull
Python is huge. Course helps you focus and apply Python to data science. Me? was new to Python; was novice at programming; had strong background in math and business (both helpful, but not prerequisite); read "Python for Data Analysis" by Wes Mckinney to supplement lack of programming experience -- focused on numpy and pandas chapters; frequented stack overflow
The course is a must-do for a person new to Python, however it ramps up very quickly. I had done another python course before doing this, which helped me do this one. The assignments were challenging in my perspective; however cracking the exercises gives one lot of confidence. Forum discussions helped me a lot to complete the assignments

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