Ratings and Reviews for Introduction to Data Science in Python

This course systematically introduced the use of Python and Pandas library to read data, clean data, transform data, and do statistical analysis.

Superb course and the staff from University of Michigan were quite committed with the learners, they've given me very valuables tools and skills, thanks a lot.

Top free course about Data Science. But I think lectures must be more detailed and related to assignments. And assignments could be less ambiguous and more clear.

This is a really great course. Christopher Brooks teaches in a very clear and objective way, in addition to the weekly assignments that are challenging and puts into practice all the content you've learned trough the videos and the material. I really recommend this course!

Although I had some background with Python and Pandas, this course brought new insights in both. With practical examples, it reinforces the conceptual understanding about working with data. I highly recommend this course even if you are already familiar with Pandas

This is a fantastic introductory data science course on Python! I was wondered by the course structure, in-browser code editing and submitting. The first course which granted me an understanding of data cleansing, pandas and python for data science.

This is a *very* good Python Pandas course that's part of a data science specialization that I wish existed 3-4 years ago when I first started using Pandas. As much as I like Wes McKinney's book "Python for Data Analysis", having an e-learning format mixing video lectures and hands-on assignments is a definite plus. I've decided to take this class out of curiosity (and in order to get ideas about a class I'm about to teach), and even if I consider myself as an experienced pandas user (top5% on stackoverflow for [pandas]). I think it's pretty involved if you're new to pandas and covers pretty much every key concept of pandas you should (must?) be aware of. The assignments can certainly look very challenging to the newcomer, and they do a great job of looking like an actual project: messy data, multiple sources, etc. I dearly recommend - and I have already started to personally recommend it - this course for anyone who's interested in learning more about data wrangling in pandas! Thanks for putting this together!

The lectures and explanations need more clarity and better instruction quality. The assignment questions were often nebulous. This resulted in lots of time wasted with the grader. The discussion forums were the best part of this class. I'd encourage the course instructors to take a look at the University of Washington's Machine Learning class. Stylistically, pedagogically and content-wise - that's a much, much better Data Science class.

Terrible course. Assignments are extremely buggy and often touches on things not even explained in the lectures. Mentors are not active. Explanations are sketchy and not well paced. Do this course only for the examples in the Jupyter notebook.

Best Python Pandas 101 course ever. Very recommend