学生对 密歇根大学 提供的 Applied Plotting, Charting & Data Representation in Python 的评价和反馈

This was the tough one to be honest by the middle because it felt time consuming but what was really worth at last!

Excellent course to learn the technicalities and apply basic but strong statistic concepts to real world problemas.

If you want to learn visualization, then just complete the assignment careully and honestly. Best course to learn .

The only course so far I have seen which covers so much useful visualization information and great depth material.

The course is very interesting and challenging. In all, I really enjoyed it, most especially the last assignment.

Very nice course, it forces you to explore different sides to plotting that are quite useful for your toolbox.

Comprehensive and practical introduction to mathplotlib and data visualization in general. Highly recommended.

very good - lots of practical tips , good progression , lots of good ideas and thoughts on how to present data

Excellent course!. So much interesting things about data representation and principles about visualizations.

It's a very good course and Our Instructors are excellent, I felt very connected to them during the course.

Great course addressing not only the programming part, but focusing a lot on the art of data visualization.

Great course! Content very organized and its 'hands-on' format is really challenging. It helped me a lot.

Easier assignments than in the first course. Also a lot of freedom in the coursepath/ assignment choice.

This course is great. After finished it, I can use Python to draw different charts to explain my points.

Great coursework, great work around with pandas, numpy and matplotlib, and of course, great professors!

The assignments can be challenging, and I am not a big fan of peer grading. Still, a very good course.

It's a good introduction. There is a lot to learn with this subject, and basics are illustrated here.

Great course. Please update the python and jupyter notebook version to the latest. Rest all are good.

Very interesting, practical and necessary to understand how to plot the results of an investigation.

Very good course, although explanations were brief they are a great guide for learning for yourself.

The course content is of good quality and well structured to help student learn the concepts easily.

This is a really amazing course. I hope Coursera could introduce more advanced course of this area.

Interesting topics for the final assignment, liked the way difficulty level increased week by week.

The course content is great and the assignments here are quite open and appropriately challenging.

this has been an interesting course learning the pitfalls of trying to cleanup and merge data sets