Ratings and Reviews for Understanding and Visualizing Data with Python

That's great

This is a great course to start with if you are a beginner to statistics and if you know a little bit of Python. The course material is very good, concepts have been explained very well and the assignments are interesting.

I think it was more theoretical and more practice is required.

This class helps me recall the basics of statistics and programming

Great course but python programming part is bit confusing, can be done on IDLE instead.

In overall the course is good. However, there are some issues that could be improved, as for example: - Using the NHANES database is come cases is not the most effective as you can spend some times trying to indetify or search for the variable they are asking for. Better instructions or the use of a simpler database could be an alternative. - Some videos could be improved. There are compilation errors in the Python demostrative videos, in some other cases previoulsy not-explained functions are used (while similar functions already known by the alumn are available) or Python 2 functions are proposed (the course should be oriented to Python 3). - I found that both parts of the course (stats and programming) are not always perfectly coordinated. Despite these issues, the course is good and I will go to the next course with them.

Great course to learn about the basic tools which will be helpful in data visualization and this course also gives an insight explanation of where the data comes from.

A great course. They example the necessary concepts with the right depth and understanding. Also, love the assignment in python, aids in using them as a template while doing a similar analysis on another dataset.

I increased my skills about statistics and Python. Thank you very much for amazing lacturers video and good materials.

Great course. The materials are thoughtfully put together and paced well, and I achieved my learning objectives: a second pass through undergraduate level basic statistics and a basic idea of how to use python to do math an evaluate statistical and other data.