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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

more elaboration on the videos would be great, coz the 2nd and 3rd assignments are hard.
Excellent course explored towards Advanced Technology
Technical issues in the assignments makes the course harder than it needs to be.
Assignments are helpful to get fluent in implementation. Jupyter notebooks integration is the best part.
The assignments were bit difficult than expected. But overall it was a wonderful course. Thank you.
The course is really good but a little more insight to pandas would have made it even better and also the auto-graders is a little buggy.
It's good to relearn some basic concepts and even learn a new trick or two. I can truly say that Jupyter, pandas, numpy, and scipy are good statistical tools in try to process the data that we are trying to understand.
good and excellent
Personally, I find that the course is good. As it's name, the course teaches how to use Python in many basic Data science task. I really appreciate the assignments, they cover well the introduced concepts. However, the only negative point (for which I do not give the course 5 stars) is the speaking speed of speakers. I bet that there are not many students whose IQ is over 140 to understand the videos without pausing several times. I mean, the instructor should focus on the ability of listeners, there are so many times I even could not read what are being appeared on the screen while the instructor are keep speaking and speaking.
It's asking for money to continue the course

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