Ratings and Reviews for Introduction to Data Science in Python

I have been doing some coding in different languages and this is my first time in Python. I would say I am on intermediate level (7 years practice), but this course made me spend a lot of time on learning only a tidy bit. The course fails in the basic educational purpose: Provide theoretical lectures and apply it with practical experience. There was little to none connection between these two aspects. The exercises were also way too difficult vs the lectures. I would never recommend this course. My recommendation: Don't make the student spend too much time googling, and solving problem outside of the curriculum, but provide many easy questions as it is a introductory course. Also, Provide a better overlap of exercises vs lectures.

The explanation of the pandas library was a bit fast in my opinion, but apart from that, the instructor was clear in explaining the usage of the library and its application. A great course overall. I would suggest that a basic understanding of the pandas library would be useful before attempting this course although it is not necessary.

This is good tutorial .

Diffcult but useful！The basics of all other four courses!

High-quality lectures and exercises. True to an "Intermediate" course, trusts that the learner will figure thing out themselves and doesn't spent extraneous time hand-holding.

Lecturer just regurgitates code out loud (completely worthless). You can't get answers back without paying for the course (fine but it would have been nice to mention that up front in the audit) so you get little feedback as you might want it. Many of the questions/code is impossible using only the python described in the course. I wanted to take this as a python refresher and it was a complete waste of time. The subject matter is perfect! But execution is abysmal.

Awesome course for anyone looking to venture into the field of Data Science. The instructor puts forth various concepts lucidly and concisely without any irrelevant extraneous details. Beware though, if you are pursuing this for the sake of learning statistics, you might be disapppointed. The instructor adopts more of a tool-based approach teaching you pandas to solve your problems the way you want to. That said, kudos to Coursera and U Michigan for putting this course together.

A great introduction course of getting familiar with pandas.

Good Course

Too much bug but the forum is helpful