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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

Recent changes to the course made it a lot worse! Longer, less concise videos, difficult to find course notes, fewer mid-video working problems, and quizzes are pointless.
From my point of view, the content of this course and especially the assignments were very challenging (which i think is positive because you had to look back into the course content and/or Python documentation). This really forces you to actively work with course content. The main improvement point within this course is the way of how the content is explained and presented; just repeating everything which is written down in the book and trying to explain as much as possible within a short period of time is not the way of teaching from my point of view. Maybe, some slides with some more explanation about a specific topics with (for example) why and how Python is performing as it performs would be more beneficial (instead of immediately jumping in what you have to do to solve a specific problem).
A greate course about Data Science !
It is very hard to complete without talking to other students. The staff is doing a great job in the forum, but the lack of talking is making the course very hard.
The course was very challenging, and I appreciated the ability to learn at my own pace. I have even been able to use the information learned in this course at my workplace.
Nice introduction to data science in python with pandas, covering relevant skills such as regular expressions and other data cleaning methods.
Muy bueno y practico para comenzar en este entorno.
4444445
The course is very good; the only comment I have may be that the assignments take a lot more time that what is stated, finally in the last week I decided to go through the contents (not the quiz or the assignment), in the first day, and then use the rest of the week for the assignment.
Very solid foundation for regex and pandas!

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