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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

great course for a start! at the end its all about how you practice from what you leanred
hard assignments, lecture was not enough to cover assignments.
Wonderful course
Amazing course. Really easy to follow along as long as you put the work in and study you'll be fine!
Unclear assignments, lectures are brief and sometimes unclear. Spent more time trying to understand what was being asked than actually learning.
Really disappointed with this course to the point I'm quiting -in spite of having paid for the grade-. It reminded me of my days at the university where I found being a great scientist/engineer didn't mean you were a great teacher. And this is the real problem, even things that should be easy to grasp are difficult to understand -just the opposite of prof. Bill Boyd who makes learning a joy-. Because of this I would only recommend this course if you already have an intermediate level in Python.
Very good lecture.
I really liked the course and how it introduces Python to beginners. Kudos to Coursera and University of Michigan!
Very informative introduction to Data Science using Python. Well presented and explained by the instructor. I will recommend this for python beginners and intermediate learners. I enjoyed it, hope you will too.
For me the course's biggest value-adding point is to simply ask us to Google everything on Stack Overflow to complete all the assignments, which has almost nothing to do with the course content. The assignments are also badly designed. In the discussion forum you can see lots of confused / frustrated posts. The TA's and mentors are clearly under-resourced to answer all our questions. The videos unfortunately don't teach us much either. The professor + TA's a simply reading off a teleprompter, and they're rushing through everything. I've done some amazing courses on Python also offered from Uni. of Chicago, but this course has been a big disappointment unfortunately...

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