This course is an amazing introduction to the potential uses of Python in Data Science. You do need to know some basic Python before starting (your life will be easier), but the lectures are really good (self learning required).
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Good base material on data science. Not the best python course. Directions were lax during the programming and I stumbled around until I found the formulas they were looking for. Not the best direction on assignments.
Tough without some prior knowledge of data science in python. It will take you a lot of on your own research, debugging, and looking up techniques, which is fine, but I feel not a great "intro" course. I need a better foundational understanding of pandas and numpy and still barely know why I did what I did, just that the syntax I managed to find works. Both numpy and pandas are quite powerful and its easy to see their usefulness, but I would call this an intermediate course.
easy to understand
Very useful.
Vedio is useless, I only need to go through the code.
Great course! This course helps verify what data science, statistics analysis, ... with full picture.
Lectures were OK. The pace moved really fast, and I thought the hardest part was that the directions for some of the questions weren't really clear (and I spent sometime trying to figure it out but gave up --- still passed though!!). Thanks for the course.
Very handy exercises, but the lesson lacked in examples and guidance.
Really useful. The approach of 'learn by yourself by solving this assignment + active discussion forums frequently visitied by the teaching staff where you can get a solution for any issue that shows up' is a good one for learning a programming language
