Ratings and Reviews for Introduction to Data Science in Python

A very good introduction to essential Python tools for manipulating data. I recommend taking this if you either know some Python but are new to data science, or if you have at least a basic grasp of how to manipulate data with other software. Users without prior knowledge in Python or data wrangling will find this course too hard. Prof. Brooks is very clear, and the Jupyter notebook environment helps tremendously. I liked a lot the format of assignments as well, though meeting the requirements of the autograder can be tough sometimes... Another point on assignment: the version of pandas used for the course and the current updated version now differ a bit, so that some syntaxes may differ on a few functions.

Excellent, but so fast for me

Excellent course for a novice Python programmer like me.I loved the essential topics covered in this course. Thank you so much coursera!!

Very compact, though complete course, good start for learning Python.

Great course to get started.

I really enjoyed the course. I learned a lot! It would be nice to give "sample responses" to the assignment questions towards the end so that users like me can compare our responses to them.

This was an amazing course. Enjoyed studying with this course and the assignments were fruitful and challenging too.

It was a great learning experience!

nice course

It's difficult as an intro to this science, I suffered so much to understand the codes and It forced me to take a small course about the libraries like Numpy and Pandas, I wish if this course more simply than it's. At all, Thank you so much for your effort, I wish all of you the best forever.