Ratings and Reviews for Introduction to Data Science in Python

Thanks you so much University of Michigan for Great course

Explanations in the videos are confusing and muddled, hours long assignments of reading entire chapters of a textbook are useless and code examples in the quizzes do not run in Jupyter notebooks or in PyCharm. I am trying to drop this course but clicking the three vertical dots only opens "Rate Course".

Excelente!

was bit tough

thank you so much, Coursera and the University of Michigan.

This course is much more time-consuming than it claims. As a person usually working with R and who has taken a beginner specialization of Python, I do not think the concepts in this course are difficult. However, the design of assignments makes you spend substantial time on tedious tasks like fixing some minor issues to make answers exactly the same as it is designed. An example is the order of entry is required to be the same as the pre-designed answer. Debugging these unimportant errors (by unimportant, I mean they will not affect outputs in a practical way) makes people really struggling and desperate.

I would prefer to have a generic assignments, this is too much US centric.

Interesting material, poor instruction and not enough practice for things to sink in. Have to basically teach yourself everything through google searches.

Just perfect! It is an EXCELLENT and CHALLENGER course!

It was great experience for an R programmer