学生对 密歇根大学 提供的 Applied Plotting, Charting & Data Representation in Python 的评价和反馈

Very good! Cover the basics and somes of not that basic of matplotlib as well as an introduction to ploting with pandas and seaborn. Essentials tools for a data scientist.

Great class, I learned a lot about matplotlib. There are so many things I still do not know, but the course did a great job of showing me the potential of the package.

Brilliant course. Very intense, new information is tightly packed and practical skills are guaranteed to be acquired.

Requires extra focus and dedication from a student.

This course has enabled me to look at visualisation in an entirely new way and the structure and quality of the content is extraordinary! Would highly recommend it!

I learned a lot about data representation and plotting in Python language using matplotlib. Perfect course for those who wants to explorer more about visualization.

Professor Brooks is the best, very to the point, precise and hands on course. I strongly recommend to anyone interested in gaining python knowledge in data science.

That coursera is wonderful thank for this course I understand the data representation in python with matplotlib, seaborn and pandas. It was very helpful for me.

Great way to enhance skills in data visualization. I would recommend this course to anybody in any sort of position that would like to make data look beautiful!

Very fun, requires you to explore a bit by yourself if you are not already familiar with statistics concepts or programming language but I enjoyed it very much!

Really Nice Course...Thanks to Speaker..It really awesome experience of how to plot,chart and represent data..

Thanks To Coursera Team & University of Michigan.

Really great explanations of the tooling but the recommended books I purchased add weight to the importance to accurate representations of the data in question

Fantastic course! a bit fast a times but I love how you get to feel empowered to solve your own day to day problems and learn great representation techniques.

This course serves as a quick way to get an overview of matplotlib's capabilities. It is especially useful if you are new to python and matplotlib in general.

It was a great introduction to the fundamentals data visualization. I enjoy how the course was structured to teach both theoretical and practical knowledge.

It's a nice course to apply data visualization techniques. This course has made me get to learn all the necessary concepts one needs for data visualization.

After taking this course, I have acquired many tools to properly make data visualizations that are insightful, beautiful, functional and easy to understand.

It's provides both the theory and principles behind great visualizations as well as the practical experience needed to learn to build these visualizations.

Excellent introduction to matplotlib. The course also covers some philosophy behind creating good graphics, and teaches you how to spot misleading graphs.

Very comprehensive and challening course on plotting, both from a theoretical point of view (how to plot) and practical (how to code and improve plots)

Really interesting course. Most of the course out there are only technical, about programming. This is about effective design, effective visualization.

It's good introduction. Esp with architecture of the lib. But the final assignment is not as said before as a deeper dive into source code of the lib.

It was unexpectedly deep and thorough course about visualisation principles and practice. Great lectures and wide knowledge on the know-how in Python.

Well structured course, gave a nice overview of the matplotlib tool and the basics for data visualization. I liked the pace more than the first course

Very good and insightful. A lot of studying and researching to complete the course. Still by far the best graphing course using programming languages.

Brilliant course, I would happily recommend it to anyone who's interested in learning how to visualize data in a publication quality way using python.