Great course, challenging - but not too hard.
Good introduction to Data Science. Basic knowledge of Python is needed.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
There were some small draw-backs, like the fact that the subtitles in the lectures often had mistakes (it is clear it was either computerized or outsourced). But overall the content and the lectures were of very high quality. So I would recomment it to colleagues for sure.
However, there were some very frustrating omissions in the assignments that made them take much longer than needed. Lack of specificity in requirements, or even just not including very crucial details. I had to search the forum to find out that I was doing everything right, but just was doing not exactly the calculation desired. This is a big oversight and cost me time on the assignments that had nothing to do with my understanding.
Good content and learning
Amazing first course on Pandas. I can confidently say i feel more confident with Pandas, and basic Python for data science programming after taking this first course.
Feels great, I am introduces to the Data Science in Python. But this was too much of crash course. It needed a lot of homework outside this course - Youtube, Python docs, stackoverflow and some blogs. That work should have been added as part of the course. And those statistics almost went over my head. As I have no foundation in statistics, I may not choose for the next level of course - seeing the difficulty of the statistics it has introduces so far.
While the assignmets are though, the classes are really well explained and the community is well organized. I have learned a lot, thanks!
Well I have started thanks to U of M.
Excellent material and assignments
Overall it is a good course, learned a lot of good things, only the overly optimistic agenda for the assignments was the problem. I had to spend much many hours than the estimated time in order to get the job done.
This course is absolutely fantastic in understanding data science by applying python programming language. Although it is quite demanding as one must be ready to be fully committed in the learning process as the lecture videos may not be enough to solve the assignments in the course.