Ratings and Reviews for Introduction to Data Science in Python

I do not recommend this course. If in the end you do take this course don't waste your time with the lectures, 90% of the homework doesn't come from the lectures. In fact the first line in every homework assignment is: "This assignment requires more individual learning than previous assignment" This essentially translates into you using google to look up how to do the 90% of the homework they don't cover in the lectures. Also this course should also be changed to be "Introduction to Data Cleaning in Python" because you do more data cleaning than anything else in this course. I am sure this review will be buried behind all of the "top" reviews even though the most "helpful" reviews as voted by people in the course are all 1-stars. I DO NOT RECOMMEND THIS COURSE.

Very helpful and practical course, great intro to data science.

enjoyed learning!!

Excellent!

Amazing good.

This course has some really great exercises that aim to give practical knowledge.

Many times I found it hard to understand the problem

The autograder wars made this a bad experience

Small criticism - either requirements.txt should be published (version dependencies) or the course should be updated for to reflect modern versions of pandas, or perhaps both. Autograder has a tendency not to be able to process subtle differences in dataframe shapes from time to time and this is discussed at length in the forums but nothing much is done to rectify. Possibly related to obsolete versions and dependencies. Questions could be slightly better formed. All in all, a great course, which has kept me busy for a couple of weeks!

Very fast pace, no clarity of the scope and poor leacturing