Ratings and Reviews for Introduction to Data Science in Python

one of the best!

This course has improved my skills in python pandas library. Now I am very much comfortable to start machine learning with Python. Thanks to Christopher Brooks for his efficient way of teaching and excellent assignments.

Exercises are not very clear.

The course has good course assignments, but the description of the assignments is sometimes too short. The lectures are a bit fast, but since it is an advanced course, it is a good balance.

I personally liked the weekly assignments. And the course content is really good for a beginner in the python

Good course. Some trouble with the assignments, difficult to understand what's wrong with one submission (could be good to have someone look at your code).

Excellent content and up-to-date material. Dont get 5th star because despite very well crafted Exams, there are evidently some problems with explanations and the "grader" ends up being too restrict.

assignments were interesting as it required individual learning which led us to research on stack overflow and the pandas doc. Also the discussion forums were helpful.

I would not recommend this course at all. I cancelled after week 2. It is framed as an intro to data science but the teacher often packs too much information into each video without taking time to properly explain underlying concepts sufficiently. The exercises often have issues in datasets that are not linked to current lesson which makes it confusing to follow along and you can spend hours searching forums to find solutions. In addition, the course does not give sufficient insight in videos to help you with questions. You have to search stack overflow and other sources to work out answers. Whilst this is reflective of real life, for an intro course which is how this was framed, it is difficult for someone new to data science to master a concept whilst trying to solve for other non related issues searching the web.

Assignments are complex without much practice questions during the course otherwise course is fine.