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

5,896 个评分
1,005 条评论


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....


Jun 26, 2020

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 ..

May 13, 2020

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.


276 - Applied Plotting, Charting & Data Representation in Python 的 300 个评论(共 989 个)

创建者 Fabio B

Aug 28, 2017

very good - lots of practical tips , good progression , lots of good ideas and thoughts on how to present data

创建者 Carlos A C A

Nov 11, 2020

Excellent course!. So much interesting things about data representation and principles about visualizations.

创建者 Sumit M

Jan 7, 2019

It's a very good course and Our Instructors are excellent, I felt very connected to them during the course.

创建者 Lars R

Jan 26, 2018

Great course addressing not only the programming part, but focusing a lot on the art of data visualization.

创建者 Carlos A V J

Oct 27, 2021

Good course. Recommend it. The videos are good, the assignments push the student and the content is great.

创建者 Luiz H

Mar 31, 2017

Great course! Content very organized and its 'hands-on' format is really challenging. It helped me a lot.

创建者 Petr J

Aug 5, 2018

Easier assignments than in the first course. Also a lot of freedom in the coursepath/ assignment choice.

创建者 GANG L

Oct 20, 2017

This course is great. After finished it, I can use Python to draw different charts to explain my points.

创建者 Suyash D

Sep 17, 2018

Great coursework, great work around with pandas, numpy and matplotlib, and of course, great professors!

创建者 Miguel O

May 13, 2019

The assignments can be challenging, and I am not a big fan of peer grading. Still, a very good course.

创建者 Stephen L

Jun 29, 2020

It's a good introduction. There is a lot to learn with this subject, and basics are illustrated here.

创建者 Kathirvel B

May 9, 2020

Great course. Please update the python and jupyter notebook version to the latest. Rest all are good.

创建者 Javier e p

Jan 9, 2021

Very interesting, practical and necessary to understand how to plot the results of an investigation.

创建者 Edgar G

Aug 26, 2020

Very good course, although explanations were brief they are a great guide for learning for yourself.

创建者 Dibyendu C

Oct 5, 2018

The course content is of good quality and well structured to help student learn the concepts easily.

创建者 Tianyu Z

Jun 26, 2020

This is a really amazing course. I hope Coursera could introduce more advanced course of this area.

创建者 Chaitanya D

Jun 12, 2017

Interesting topics for the final assignment, liked the way difficulty level increased week by week.

创建者 Dennis D

Jun 27, 2021

This is a great course. I learned a lot about plotting charts and how to represent data correctly.

创建者 Yan X

Oct 13, 2019

The course content is great and the assignments here are quite open and appropriately challenging.


Aug 27, 2018

this has been an interesting course learning the pitfalls of trying to cleanup and merge data sets

创建者 yasmina D

Jul 20, 2020

I really liked the practice concept which wasn't there in the first course of the specialisation.

创建者 Michal P

Aug 28, 2018

Really good, nice and pretty open assignments. Recommended to understand the logic of Matplotlib.


Mar 18, 2018

Thanks to the course instructor and team. It is an excellent learning environment and the effort.

创建者 Yi-Yang L

Apr 6, 2017

Excellent, especially you can create a lot of beautiful charts and graphs. It's very interesting!

创建者 Chris P

Mar 15, 2021

Really enjoyed this course. I learned a lot more about matplotlib and various design principles.