Ratings and Reviews for Introduction to Data Science in Python

I think the structure of the lessons are highly relevant for data sciecne and taught well. So for Syllabus content I think you are doing veryy well Cons: Nearly all the problems I encountered were related to the autograder not being helpful! There could be better error handling/debugging i.e. instead of just saying the answer is wrong, explain why and the aswer that is expected. For example, I spent DAYS on the final question (run ttest)of the last assignment. I had the right answer all along except the autograder was expecting the type to be numpy float 64, whereas my answer was just a float!

This was a good course and quite challenging. It requires a lot of self learning if you are not familiar with pandas. I wish some of the technics that were required to solve the assignments were better explained in the course material.

Excellent course and the content is presented very efficiently. I often watch lecture for other courses at a 1.25x or 1.5x speed, but this was different. I could barely keep up at the regular speed. Highly recommended.

I recomend Introduction to Data Science in Python it is a good piece of knowledge

This is great course! I liked balance between theory and practice. And also tasks are covering something that is out of the week material, but can be easily found in the web (with provided suggestions)

It is an interesting course. I would say this course expects more from students than other courses. It does not take you by the hand in working with Pandas. For the assignments you will spend a lot of time in the Pandas documentation and Stack Overflow. I don't know about others, but this lead to my code being very clunky and not Pandorable code.

Really nice course to get you start with the Data science in Python

Perfect course

Great course! Dr. Brooks provides a nice and accessible introduction to Pandas, and the assignments are helpful and problem-based. Highly recommend!

unclear and poorly thought out