Ratings and Reviews for Introduction to Data Science in Python

I really like this course, it is a good kick off to learn and practice Pandas. The assignments are more difficult than the avg assignment in coursera courses which I think made this course more productive.

It is a great course. especially on the excellent assignments.

This course was much harder than anticipated given it was also my first introduction to Python. Knowing Python coming into this course will make it a lot more manageable. Overall it's an excellent course which touches upon a LOT of items. Given more time on each item, this course could span 10 weeks easily. I now have an understanding of Python basics along with Pandas and a dash of numpy.

Lessons were ok but the assignments were really frustrating, not because of the questions itself but because the questions were organised badly or were really vague and confusing.

I love this kind of courses wehn the lectures are clear, short and meaningfull with real topics and hands on the topic, really good course

This course helps me a lot! Thanks for all staffs. Hope the grader system coud give more specific feedback.

Assignments are challenging, but some questions are very vague and require lots of trial and error guesswork to get the autograder to accept them.

The course gives practice in Python, but programming assignments were loaded with "busy work" that added little value and often had only loose ties to the material discussed in class. While this forces more independent learning, it also makes it so that this course isn't really much better than free online tutorials. I found myself learning almost everything for the programming assignments from the pandas package documentation and from Google searches that led to stackoverflow. For an instructor from the University of Michigan whose bio says "I work with colleagues to design tools to better the teaching and learning experience in higher education," I was expecting a lot more value for the time spent in this class. I suspect that this course is being used to provide data for furthering his own research. It's often more difficult to maximize value to customers when personal incentives may not be perfectly aligned with customer (student) objectives.

I was quite disappointed by the almost total inaccessibility of the staff in the discussion forums, the unconquerability of the autograder for most of the assignments (losing points for no discernible reason, with all resources exhausted), the lack of a stats module for the specialization, and the lack of education, really. There is value in asking students to learn on their own, but this course goes much too far with that, giving problem sets that are virtually unsolvable without prior experience in data wrangling in R or some other data language. This leaves serious, hardworking students with little choice but to troll the forums for solutions. Hardly the best way to learn the intricacies of this subject.

great hands on course, with challenging exercises and fast paced lectures. the homework assignments need some rephrasing, as it is not always clear whats being asked. looking forward to the second course in this specialization