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Applied Plotting, Charting & Data Representation in Python に戻る

ミシガン大学(University of Michigan) による Applied Plotting, Charting & Data Representation in Python の受講者のレビューおよびフィードバック



This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python....




its actually a good course as it starts from fundamentals of visualization to the data visualization,the assignments this course provide are exciting and full of knowledge that you learn in course ..



I am going for the specialization and I know this is just the second course in it and I haven't even seen the further courses yet, but this is already my most favourite course in the specialization.


Applied Plotting, Charting & Data Representation in Python: 826 - 850 / 1,001 レビュー

by Udit G


The Peer review system is good, but the evaluation method should be more elaborate

by Romain


It is a nice course ! The only problem is that some questions can be ambiguous...

by Martin H


good course to get started with matplotlib, needs more hands on exercises though!

by Richard H


Great course. But it is very broad (and challenging) for a four week course.

by Richard B


Good background - some of the presentations (such as on seaborn) are rushed

by Jiangzhou F


Only thing I don't like is the peer review part. The rest is pretty good.

by M M


I found the lectures interesting and thorough yet short and to the point.

by Amine D


Really good , you need to read documentation and look at your peers work

by Jose E R


Excellent course. I learned plotting and data representation in Python

by Jeffrey D B


Class was OK, would have liked some discussion of Bokeh and/or Altair.

by Didac B


Really useful course to master the matplotlib visualisation pacakge

by Haldankar S N


week 3 is slightly faster as compared to other weeks of the course

by Kishan D


The versions of pandas and numpy used in this course are outdated.

by Jialie ( Y


It would be greater, if teacher can cover more API in the lecture.

by Srinivas R


a quick but sparse introduction to plotting and charting in python

by Abir H R


Should be updated with the updated pandas and matplotlib library

by Fatemeh M


That was great !

Thanks all the instructors and their colleagues!

by ravi c


The course helped me to perform data visualization using python.

by Fabian R


Very good overview. Could have been a little bit more material.

by Manoj K K M


Good course to get a feel on plotting, what is chart junk etc.

by Iván C S R


Really helpful to improve skillset of visual communication.

by Alexander C


Very good course. Requires a lot of work but well worth it.

by Lan Y


Don't like to review the assignment part. Others are good

by Shuyi Y


Great training in matplotlib and the plotting experience.

by VP P


This was very strenuous. There are better graphing tools