Ratings and Reviews for Introduction to Data Science in Python

Very disappointed and honestly shocked that this course has the rating it does. I enrolled in this course expecting to be taught. Instead, I have to pause lectures every few seconds to find a free YouTube tutorial or Stack Overflow article that actually explains the content that the instructor mentioned (because he never goes to a level of detail necessary for what can be reasonably considered "teaching"). All this leaves me wondering: Why am I paying for this? I cancelled my subscription to the Specialization after taking a look at Assignment 3 and have no intention to finish the course.

This course has given me the confidence to work on data science. The instructor of the course has helped me to earn this course certificate smoothly, the clarity of teaching is way much better than any other instructor that I have gone through and it will help anyone definitely.

i n t h i s s t a r t i n g b a s i c k n o w l e d g e i n n o t g i v e n .

The assignments are fine, they are pretty tedious at times, but it is this kind of situations that forces me to self taught myself. Something really bad about this course is the lectures. They assume we know everything, I wouldn't be able to follow if i haven't done python in data analysis before, g, so they go fast and doesn't explain how everything/every function works. But if they assume we know everything, there is no need for the lecture videos. Just give us the assignments and just ask us to look at stackoverflow. The videos are 90% useless.

The pace was of the course was too fast

This is a good course for practical hands on data in python. Good learning on map, apply, groupby, merge, data slicing, subsetting data, datetime, bin. creation Should include datatime & cut in the assignments. Thanks, Suman

Very Nice

Course was good, as it gave overview of basics, but I think, more could be taught.

Good

Thank you so much!