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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

Well, this course is quite good. It's obvious that the staff put a lot of effort into the course. They answered students' questions and solved problems which helped a lot. I learned basic programming skills of Python and the usage of library of Pandas. The professor gave the outline of what you need to do and the most of the work is done by yourself. Very happy to take this course!
if you are new to the field this should be in your way to excel. had a great time . pls do refer to the books suggested it is surely necessary
excellent work by professors
The Assignments are very good. But the video lectures are terrible. they offer no or very little Explanation what so ever of the notebook being displayed on the screen. The TA just reads the notebook instead of diving into what the functions are doing. The subtitles overlap with what people are writing in the journal.
This was an excellent, and challenging course. I highly recommend it for exactly what the title of the course is: an intro to data science. The coursework was really helpful, although difficult.
The course provided minimal instruction and relied on self teaching. The easiest solutions to the assignments weren't covered during the weeks lectures, and had to be found through self teaching. This would be a great free course. Paying for it was a waste of money as I could have learned everything I did from my own teaching.
This course helped me going deeper in the python language, especially for datascience. I learned a lot on two wonderful python librairies : numpy and pandas. The assignments were more complicated than expected but with the help of staff members and classmates I did it. A special thank to Sophie Greene whose intensive comments on the forum were very helpful.
Good to start on Data Science covers a good starter point, giving a practical approach and theory as well.
Excellent course ! Interesting materials and challenging assignments. I'm glad I chose to go with the specialization!
An excellent dive in Python and Pandas. Christopher's course combines fast-pace and clarity; you never have to wait for the video to move forward. Thanks !

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