Ratings and Reviews for Introduction to Data Science in Python

The professor speaks really fast, but the content is fantastic. This course is extremely practical.

I really enjoyed this course. I found the instructor very good and the assignments were fun. I was pleasantly surprised by the whole course.

assignment is a little bit messy.

It was a challenge course!!!

这是一门很棒的课程. 尤其是他的作业. 尽管有时候作业的说明不是很清楚. This is an excellent course , although its programming assignment needs to have somehow clearer explanation . But anyway I like this course .

After having taken several Data Science-related courses, this course seems like a good introduction to Python for Data Science applications. Not much 'actual Data Science' is covered in the course, however. It's more practically-oriented in the sense that it deals with data preparation (loading, cleaning and merging data). You don't get the luxury of the common perfectly-prepared csv-files in this course, which is a good thing!

Very good course.

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.