Ratings and Reviews for Introduction to Data Science in Python

Very succinct and provided fundamental information. Moves quickly, but rewatching the videos helps.

This course is a mess: -Not well structured -They don't properly guide you in the learning process : better courses from better universities, as Stanford ones, describe all you need to complete an assignment, or give you a good and deep introduction to the libraries/framework you have to use... here they just explain part, non including many info you need in the assignment, so, you have to spend a lot of time trying to find proper documentation, reading other external tutorials, checking people with same issues in stack overflow -some even with the same datasets, I am not sure if they were from the same course A lot of stuff to improve, I recommend to you to look for another course

Very good

A great introduction to the subject.

Overall I learned a lot, but the relation between course material and effort to pass the assignments is not good. For example for week 4 there is 23 minutes course material (videos) and I needed roughly 15 - 20 hours to pass the assignment. In week three it was not much better. The videos are only describing rough principles. For the assignments you have to search for a lot of other sources in the internet.

The assignments are pretty brain storming.If you want to practice some wrangling with data I would recommend it,but you must have some basic python knowledge along with some skills using pandas and numpy.

Good course, you have to do a very large amount of work and research and test on your side in order to properly understand it.

nice and interesting course on pandas and numpy

course content is very good. the assignments need to be more detailed...some questions are confusing and need more instructions.

Good overview of fundamentals. Could do with more information on last few parts that feature quite heavily in the assessment (e.g. statistical tests).