Ratings and Reviews for Understanding and Visualizing Data with Python

Python in week 2 is largely unexplained, also course could have dived deeper into statistics

The course gives a strong foundation on sampling theory, distribution and inferences

Very nice.

This course started well, but unfortunately, I think they should add more extra example and focus on the topics more in-depth, I can say in each quiz I spend around 3 hours to find related topics in the internet and learn them to answer to the questions and I think it should be cover by the course itself.

Excellent!

I loved several things, first that gives you an overview, useful, clear and fun of several basic statistical concepts such as measures of central tendency, different forms of graphic representation, and one of the most important at least for me (already that neither in school nor I would have ever thought about) the types of sampling that exist, because in school there is usually something called simple random sampling and we develop statistical techniques for it, almost completely ignoring the other types of sampling that are really common in real life and that when we face them we don't panic, I know that this is an easy level and I appreciate that in some way, but I would have expected a more difficult course that would have made the concepts really stay in me because I would be thinking about them continuously and how to apply them to the tasks that are presented week by week

Nice course with multiple challenging opportunities for practicing the learned concepts with code.

Really enjoyed this course. Looking forward to the next part of the specialization. I thought the quality of the lectures was excellent and made the topic interesting and digestible

Love the content and structure of the course.

Excellent