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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

Good course overall. Like previous one, you can do as much as you want. How much you learn is completely dependant on you. It is not difficult to pass it, but if you want to get the best out of it during the assignments, you will have to spend some time in stackoverflow and matplotlib help.
It would have been better if lectures were of more length and covered relatively harder problems. Support of course staff on forums is very poor. These things can be improved.
good presentation
Pros: Very nice assignments Cons:Instruction is terrible (week 1 on how to draw neat chat is great though). However, coming to the charting, it is terrible. At the end of the course, the instructor didn't emphasize differences among 3 different charting methods: stackflow has a great post on this: https://stackoverflow.com/questions/37970424/what-is-the-difference-between-drawing-plots-using-plot-axes-or-figure-in-matpl The instructor should have talked about this in a laymen language in the very beginning. Although I learned a lot, but mainly from the assignment and stackflow, not week2-4 education videos.
Some projects were difficult to understand.
Good all in all - nice material, videos and python notebook with tasks. Automated validation of data part of assignments would come handy as well.
I really like the supplement reading materials in this course. They were very intriguing.
I think there should be more guidance regarding the use of the different modules. Explanations are general, short, and important details and explanations are omitted
I didnt like the peer review
The versions of pandas and numpy used in this course are outdated.

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