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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

Challenging assignments, clear and concise explanations, learned a ton!
great
This is an amazing course. The teacher (Chris) is fantastic, extremely clear and a pleasure to listen his classes.
Great course. You should really work hard to pass all the assignments. Tons of practical expirience in pandas. Looking forward for the next courses.
Fantastic course. Quite challenging but it is really worth for people looking to learn python and some of the key concepts in data science. I definitely will continue with the following python courses part of the specialization
Good intro to Pandas and assignments are well designed
Good lecturers and interactive videos
While the course was great, the Jupyter notebooks and the background shells gave me several unnecessary errors. While this was a smaller issue, I think the practice Notebooks should be somewhat in line with the assignments. I struggles on Assignment #3.
It is an interesting course. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks Prof. Christopher Brooks and TAs.
Very good class - but it does require quite a bit of outside study - reading up on stackoverflow. But after this class, the student will be able to have a very hand set of tools/skills to tackle datascience projects. BTW, python with the interactive notebook is very popular in actual datascience projects in the commercial sphere, so this class can be leveraged directly in the real world

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