Ratings and Reviews for Introduction to Data Science in Python

While the course was great, the Jupyter notebooks and the background shells gave me several unnecessary errors. While this was a smaller issue, I think the practice Notebooks should be somewhat in line with the assignments. I struggles on Assignment #3.

It is an interesting course. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks Prof. Christopher Brooks and TAs.

Very good class - but it does require quite a bit of outside study - reading up on stackoverflow. But after this class, the student will be able to have a very hand set of tools/skills to tackle datascience projects. BTW, python with the interactive notebook is very popular in actual datascience projects in the commercial sphere, so this class can be leveraged directly in the real world

Great introduction to Pandas.

This course was fast paced but the material was interesting and not to complex. I can only recommend this course to anyone interested in Data Science and who already has a basic knowledge of Python.

The course was structured well, there were a lot of assignments that really help with learning pandas. The lectures were ok, could've been a bit longer though.

Best course to learn Pandas library and some basics of Python required for Data Sciences and Machine Learning.

Awesome introduction.

I took sometime to get used to the auto grader, but after that it's fine. All the staffs are very helpful in clarifying the questions and provide code to debug my codes. It was awesome!

Really amazing course, I leaned a lot about pandas, how to manage and clean data and extract value out of that. I've learned a little about statistics, specially hypothesis testing.