Plotting concepts need more deep explanation or more practice, generally the provided information wasn't meet the course's level "in my opinion."
Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python
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Reviews and Ratings
Reviews
Less demanding than the first course. Learnt a lot, mainly from matplotlib and Seaborn documents.
In addition to giving practical guidance in plotting and charting, the professors also give a simple but comprehensive explanation of the structure and functioning of the matplotlib.pyplot module, even though it doesn't require you to understand the deeper structure when you use the function, it certainly doesn't hurt you for learning more, especially when you want to be an expert in this.
Good Course
Overall, it is a good course, however, the professor should be more specific about visualisation.
Great intro course!
This course is anbalagous to taking a creative writing course, but all lessons are on vocabulary and grammar. Once again the lectures are unhelpful. The discussion forum in this course does not provide much help (unlike the first course in the sequence). I suppose they are applying the graduate school mentality to teaching: you want to learn it, figure it out. I myself am definitely not at that level right now.
The assignments are challenging, and you will learn from them, but you won't learn deeply. It seems all very superficial. Just look things up to get them done. Type in any question you have and a solution will certainly appear on SO. Why not give students the tools necessary to solve challenging problems on their own (like in Python for Everybody and Python 3 Programming)?
Professor Brooks is clearly passionate about programming and is very accomplished/intelligent. Unfortunately the teaching in this course is of low quality.
The course itself is great. For those complaining it's not detailed enough I think data scientists need to learn how to search for code and adapt it for their own purposes. If it's too hard to achieve in this course, probably start from a easier course or this is not the right career for you.
However the grading system is broken. Cheaters just submit empty/irrelevant answers and trying to get 3 other people to give them good score on those empty answers. All the 3 reviews I've done for assignment 4 are such cases.
Good course, I liked the final assignment which gives the opportunity to freely explore data.
Some good pointers in matplotlib, covers quite a lot but goes over a range of features and tools that you can come back to.
Assignments were a bit simplistic/easy