Anyone looking to enhance their skills in data visualizations using Matplotlib should enroll to this course, it exceeded my expectations not only treating Python technical aspects but also visualization design topics like the principles of Edward Tufte and the teachings of Alberto Cairo.
Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python
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Reviews and Ratings
Reviews
A challenging course that builds off of the the first course in the series. Came away with a good knowledge of pyplot.
Very Helpful
I always enjoyed creating interesting plots with Matlab. This course helped me to transfer/broaden my skillset over to Python and Matplotlib, and actually helped me to get further inspiration for my day-to-day work.
Interesting course on Data visualization which give more hands on experience.
Great course in all aspects. In fact, I have taken quite a few courses with the University of Michigan and the majority were top class. The only exception is Applied Machine Learning, that one is a mess. Jupiter Notebook is not functioning well, grading is not working, and pretty much no support.
Excellent course. I recommend adding animation and widget examples. You have to dedicate several weeks to topics seen in week 2 and 3.
Very impressive!
I thank to coursera for giving this opportunity to learn a new subject Applied Plotting and Data Representation in python. All the classes are useful to develop my skills. Thank you coursera.
I really liked, it has general idea about how to introduce yourself on Python. However, reading other opinions, I really understand why other can think that it is not enough, because one need to research many things if we want to learn new and useful things even to resolve assignments. Also, it depends of your cheers, because they are going to evaluate the assigments. Then, sometimes you are going to have cheers who will not provide any feedback
