Ratings and Reviews for Introduction to Data Science in Python

Generally very interesting and helpful course. Lectures could have been a bit meatier (I spent a lot more reading through the docs than most other Coursera programming classes to complete my homework). It's one of the few Data Science sequences that seem to be offered in Python, rather than R, which was a big motivator for taking this particular class (the transition to working with big data with for example pyspark should be significantly easier). As an side: one thing that would be helpful is if learners could see the solutions after submitting/getting a grade. Learners would stand to learn a lot by seeing the 'better'/'accepted' answers -- even though I aced the assignments, I _know_ my code isn't as "pandorable" as it could be. That remains one of (a few) bigs differences between a MOOC and in-person teaching...

In my view, It is recommended to study a book on Python data analysis tool-kit panda and numpy. The course video quality is very good, instructor voice is clear and load. I highly recommended to take this course who wants to be a Data Scientist.

I dont put the biggest mark because sometimes you have spend a lot of time trying to resolver a problem with and csv file and it is something related with format....

Really good course!

It is necessary to explain more some definitions and some assignment are not entirely clear. Excellent response from the staff

This course is really helpful for learning purpose

The tutorials should be similar to this : https://www.youtube.com/watch?v=xvpNA7bC8cs&t=773s YouTube explain the python codes better than whats explained here.

This is one of the finest curriculum on Data Science using Python, i have gone thru'.

the grading system is super annoying lol

Some task descriptions in final assignments were not fully clear so I had to resubmit my work to pass. Otherwise, was good to refresh my pandas knowledge.