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

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Reviews and Ratings

4.5

5493 Ratings from Coursera

Reviews

Excellent choice, i learned a lot, and I'm already using this knowdlegde at work
Disappointing. Matplotlib is built from layers of interacting functionality, and this course doesn't create a structure to understand it. Unclear and confusing. Note however that the following courses in the specialization show matplotlib code but don't necessitate writing it, so you can do them (at most auditing this course before) and only return to this course if you want a specialization certificate.
The course is okey - lots of fuzzy theory such as Cairo's principles. Interesting stuff, but also quite self explanatory and seemed like a waste of time. I would say its worth it to do this course if you have not had any exposure to Matplotlib or seaborn, but if you've done any significant using those then this course will feel a bit underwhelming.
It's a course that is hard to be taught, because it involves a lot of human judgment in terms of aetheticism. It is good to know some examples of how to create a plot, though.
I learned a lot from this class. It had been a great learning experience. Thank you!
Great course to learn charting in python - recommended for data science
The course is good. But the reference to Alberto Cairo's work doesn't help too much to enhance the quality of the course , since it's difficult to understand how he can compare journalism at Spain and at Venezuela.
An wonderful introduction to plotting and charting . Every beginner must take this course to learn about plotting and charting
Very hands-on and good way to practice problem-solving skills (you'll have to research ways to conquer the homework assignments such as checking Stack Overflow, course discussion forums and Python documentation)
Very good, difficult assignments, but lecture videos are shallow and you have to study most of the material on your own.

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