Ratings and Reviews for Introduction to Data Science in Python

The assignment is useful, however, the grading does not give much information on the submission except the points awarded.

Great course and very good lecturer. I recommend for every old and future Data Scientist.

I really like this approach of the specialization. Data wrangling with pandas is essential. Also referencing some controversial discussions reagarding the limits and problems we are facing as data scientists is appreciated. However one star less as as there is no feedback on the submissions. So I really don't know what was good and how can I improve my codings.

The Course assignments are challenging. Thank you

I really liked the course. I learned a lot.

An Awesome tutorial to start learning Data science using Python and its Libraries ( NUMPY, PANDAS and etc...)

The course is great for senior data analyst. However, you need to learn by yourself probability and statistics because they do not cover them in this course.

Awesome !!!

Tough speed - learning effect created by the weekly assignments. Good start into data sience.

The course is overall very good and is definitely a very complete introduction to the topic. Sometimes I found the pace of the course a bit too fast: it's quite difficult to focus on the Professor's explanations and, at the very same time, follow the commands typed on the jupyter notebook (not to mention reproducing them on my own!!). The python exercises are overall quite well done, even though in some parts they could benefit from clearer explanations (thankfully almost always provided in the discussion section). Be careful that often the programming assignments go beyond what has been explained in the lectures and therefore require an active search in the documentation, on online forum such as stack overflow or in the resources section.