Ratings and Reviews for Introduction to Data Science in Python

The assignment were too good as it would test your knowledge and make to think on how to clean the data sets do manipulation and run descriptive statistics on them.

If you go into the lab and play with different parameters of the functions you'll get a hold of what they do. Just watching the videos is not gonna help you learn. I think people give this course a bad name because they didn't really spend the time to actually play with the functions themselves. The assignments are challenging but the materials are all covered in the lectures. I don't understand why people say the assignments require more than he teaches. Sure they are tough and yes I did consult my notes and stackoverflow. Overall great learning materials.

good

Assignments are too difficult，cause if you don't use some special functions like extract（），you will have to stack lots of iterations···but some skills and functions used in assignments are not mentioned in the lecture.

This course helps me to understand deeper pandas and numpy. Earlier I haven't done so many exercises by Pandas. Now I can prepare data for further manipulation.

Very structured lectures and examples based on real-world problems.

Thanks, University of Michigan and Coursera for providing this course.

Just wanted to browse.

At times the assignments are more confusing than teachin, especially for non-english speakers

I would say an advanced level of python understanding is required. The assignments are very difficult however you do learn a lot about python and it's libraries.