Ratings and Reviews for Understanding and Visualizing Data with Python

Good Course to take, to get to know basic application of python to do statistics

Excellent course. Wish I had had more feedback, or someway to interact with an instructor.

It was ok. To be honest, I expected somehow more from this course, but I cant say that something was bad. I would like to have more practice in python, because the exercises are made more for watching or just repeating, not really for practising and applying new skills.

Video lectures and suplemental material were put together very well. I enjoued the class and learned a few new things in the process. If I had to make a sugestion it would be to include more practice opportunites however there were enough to be effective.

This is the foundation course every aspiring data scientist needs

Can have more adavanced excercisesm and scope of data visualizations can be improved(since those are not that advanced) but for a begineer this is a great course, the links in the courses are great to extend the knowledge.

It was an excellent course, the explanations were very clear and the examples given really helped to ilustrate the concepts.

Easy material to understand, and simple enough to actually apply the concepts in Python. Good beginner course.

They cover basics like normal distribution, z-scores, and plotting data with scatterplots/histograms. In week 4, they give a fairly detailed overview of distribution sampling, and hammer home that you need to be cognizant of bias in your data. To me the most useful aspect of the course were links to third-party articles and web-sites that I would not have discovered otherwise (such as the app from Brown where you can play with different distributions).

More hands on assignments would be desirable.