Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python

Good Course: It makes you confident about piloting;but. it needs effort.

Took me a while to finish but I'm glad I finally did.

It was good to know that visualization is possible in Python, but I would probably not use them because there are so many other tools that make it a lot easier to create interactive visualizations in a much shorter time. While I do not disagree with Albert Cairo, I do not think he is the only person we should read about nor the best visualization expert. Assignments were good, but peer reviewing was not always great; I wish to not be graded by peers who do not follow instructions and give poor grade because they do not understand the course content and/or just out of spite.

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

Best course! The assignment is amazing! I've learned a lot through practice!

The coding assignments are much harder than the content taught in the course. Need to do a lot of self-learning and searching. I personally don't prefer this style

Thank you!

Tough and vigorous! Its what you make out of it. Great course assignments.

This is a whirlwind course that glibly covers some very important concepts without devoting enough time to each one. Week One, although important, should be replaced with more coverage of matplotlib, or a review of the different types of charts and when to use them. Also, although I appreciate the in-video quizzes, it is difficult to go back and review the concepts you learn from them because they are not in the Jupyter notebook. For instance, there was a method Dr. Brooks used in a solution to an in-video quiz and I could not remember where I had seen it. I stumbled on it again after reviewing the video for something else.

Inspiring