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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

U-M and Coursera together brought a great and very interesting course. Great that the learners get exposed to various aspects of DS, be it the concepts , trends etc. A great platform for participants to learn together and experiment. Course introduces what is relevant in the industry and provide multiple opportunities to apply the learning. On top that it is laced with interesting challenges, not a cake-walk -:) My sincere thanks to U-M, Coursera, teaching staff and all who made this happen
Some of the material was interesting but on a whole not nearly as engaging as course 1. I fully can appreciate how the principles of chart design are valuable to the subject matter covered in this series but on a whole I would have liked more focus on the technical skills and maybe had the academic perspective on design extra reading. Also the peer grading portion of this course is a little rough. The people that graded my work were great but I don't expect them to engage my work in a very meaningful way. It's not realistic to ask them to give their full effort to grade 3 assignments for an online course that they pay for. My personal preference would have been to structure the assignments so that they could be automatically graded like in course 1.
a quick but sparse introduction to plotting and charting in python
I feel like this course is bad. Since it basically tell us to search google for everything.
This course requires a lot of work, but brings you a strong experience in data plotting using several tools available for Python.
useful
The video guide is pretty good, it shows you a lot of thing that you need to learn. It covers a lot of breadth and depth, but only briefly. For further info, and for the most part of your time when doing assignment, you need to seek the relevant manuals yourself. But that is fine, because matplotlib is very very rich library and there's no way all can be taught in a single course like this, and also it makes you familiar with how to find information yourself. The main drawback is with the assignments though. I'm okay with the peer review system. The problem is that the assignment specification is not too clear. For example, in assignment 4, you need to think yourself about what you want to visualize. So a lot of time was spent on thinking about WHAT problem to display rather than HOW to address the problem (using plotting/visualization), which is the subject of this course.
it is a good course to help me have a glance to the data visualization area. However, I think I cannot learned a lot from the course and the homework is so easy that I haven't practice enough.
Concise programming assignments. It is sort of just basic plotting and readability of graphics.
I am currently in week 2 of the course, and I can say that I am enjoying myself. The course is insightful, and requires some thought.

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