I feel that this course is to take money from people who are not educated enough to realize they are mostly offered snake oil. It was very disappointing how little effort the course staff put into this course. The whole first week the professor was rambling about some design authorities spitting out names like Tufte and Cairo and asserting how important it was to mind the design features. One might argue about the importance of this, but there was not a single item of actual practical application over all the first week. Then in the second week finally came some material on matplotlib, also horrendously presented. Professor Brooks showed it the way that made one of the best plotting tools in the world look revolting. Speaking factually, the information was scarce and consisted largely of using matplotlib in the convoluted way with the practices nobody actually uses. And again, most of the actual learning was left to the user in the form of Professor Brooks encouraging the learner to read documentation and ask questions on stackexchange. I can do this and I do this a lot in my work but having paid money for this course, I did not do it for a dismissal like this. Yet I decided to stick with the course out of sunken cost implications (after all, I paid $50 and spent some time in the specialization). Today it is three days to the next subscription charge and I realize I do not have enough motivation neither to hand in the last two assignments (which I am capable of) nor to give away another 50 dollars just to discover that the machine learning course is none the better.
Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python
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Reviews and Ratings
Reviews
Good course on teaching you the fundementals of matplotlib. However, there were many things which could have been expanded on. The entire course felt more like a continuation of the last course as opposed to its own course. However, the assignments and the course content were informative, and will give you a solid introduction to matplotlib.
A decent course which went deep into theory of data visualization. It really helped me get the concepts from the roots.
But one drawback is that you have to spend a lot more time reading articles they provide and some other resources you find online for a proper learning.
Paying for a brief showcase of "what is possible" and then getting told to look up needed information elsewhere is not my understanding of good teaching. Also lessons are absolutely not useful for assignments. No recommendation.
the course is poorly taught compared to courses i have taken in coursera
The only one message in this course is:
There is a python module called "matplotlib', please read the documentation/ google/ ask in forum/ stackoverflow yourselves.
A complete and very intersting course.
Was great, concise, efficient.
Love the content, the pace, the assigments.
Excellent lectures and assignments.
enjoyed learning python and its visualization libraries