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學生對 密歇根大学 提供的 Applied Plotting, Charting & Data Representation in Python 的評價和反饋

4.5
5,705 個評分
971 條評論

課程概述

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....

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OK
2020年6月26日

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 ..

RM
2020年5月13日

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.

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801 - Applied Plotting, Charting & Data Representation in Python 的 825 個評論(共 954 個)

創建者 Didac B

2020年10月21日

Really useful course to master the matplotlib visualisation pacakge

創建者 Haldankar S N

2020年5月6日

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

創建者 Kishan D

2020年4月20日

The versions of pandas and numpy used in this course are outdated.

創建者 Jialie ( Y

2017年12月29日

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

創建者 Srinivas R

2017年10月9日

a quick but sparse introduction to plotting and charting in python

創建者 Abir H R

2020年5月26日

Should be updated with the updated pandas and matplotlib library

創建者 Fatemeh M

2018年7月24日

That was great !

Thanks all the instructors and their colleagues!

創建者 Fabian R

2017年6月30日

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

創建者 Manoj K K M

2018年6月3日

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

創建者 Iván C S R

2019年2月7日

Really helpful to improve skillset of visual communication.

創建者 Alexander C

2017年7月23日

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

創建者 Lan Y

2020年5月27日

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

創建者 Shuyi Y

2017年4月2日

Great training in matplotlib and the plotting experience.

創建者 VP P

2021年6月7日

This was very strenuous. There are better graphing tools

創建者 布鲁斯然

2018年1月15日

I learned something that helps with my work. Thank you.

創建者 Qiyu L

2018年2月5日

Somewhat easier compared to other courses in the pack.

創建者 ALISON J D

2018年1月15日

A fun course, well-taught and with some lovely charts.

創建者 Nuno d S

2017年6月29日

Very nice course, however It could cover more topics.

創建者 Prathamesh P

2017年5月31日

Lecture videos were a little difficult to understand.

創建者 Akash K V

2019年5月14日

good but needs to be more precise in what it conveys

創建者 LAI H Y

2018年9月17日

The essential elements of visualization with Python

創建者 Annie G

2020年7月16日

Could be more examples of advanced designs graphs

創建者 Charles E

2020年7月5日

Covered a lot of ground, but excellent material.

創建者 Xuanye C

2020年1月15日

useful course, but a little bit useless homework

創建者 Joel

2019年6月7日

Another course with excellent content from MoU.