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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
5,704 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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901 - Applied Plotting, Charting & Data Representation in Python 的 925 個評論(共 954 個)

創建者 Jordi C

2017年4月17日

I gave the feedback to the detailed survey by the University of Michigan. I enjoyed the course but I would like some more guided work before facing the assignments. I think the professors can elaborate better the course

創建者 Julio V E

2017年9月13日

The course is good. But the reference to Alberto Cairo's work doesn't help too much to enhance the quality of the course , since it's difficult to understand how he can compare journalism at Spain and at Venezuela.

創建者 Dr S K

2019年1月10日

I did not find this course particularly interesting. The concepts of interest were there but the supporting material I found inadequate. In addition the assignments were a bit vague.

創建者 Bart T C

2018年9月12日

An excellent course for learning plotting, but requires a very strong background in stats if you want to avoid being lead into mistakes in your thinking about how to evaluate data.

創建者 Sakis N

2017年11月13日

Excellent lectures. I believe the assignments should have been more specific to make students combine both lessons(1 & 2 ) so as to use all knowledge they acquired.

創建者 Xiao Y

2018年4月3日

The coding assignments are much harder than the content taught in the course. Need to do a lot of self-learning and searching. I personally don't prefer this style

創建者 Vibhore G

2018年1月28日

The teaching and assignments vary and it's bit difficult to understand the assignment questions because they are not clear. Although the concepts covered are good.

創建者 Saman H A

2019年8月15日

Materials, slides and videos were not adequate and didn't provide enough details.

There were many many typos and misleading syntax errors in lecture subtitles.

創建者 Matthias B

2017年4月4日

Pretty well structured class, but quite expensive considering very limited lectures and assignments that are mostly "find your own challenge on the internet".

創建者 To P H

2018年11月16日

All are peer-grade assignments make it very hard to finish the course fast due to the different in

session dates for different courses in this specialisation

創建者 Marcel K

2019年5月21日

I wish they'd update the accompanying notebooks - their versions of pandas and related libraries are several years behind at this point.

創建者 Edgar T

2017年5月2日

Did not like the peer-graded dynamic, and also the lectures were pretty basic, I felt that it lacked depths in some subjects.

創建者 Chenxin Y

2020年3月9日

Assignments are very unclear and too subjective. Have to look through the discussion forum to understand what is required.

創建者 Rodolfo G

2019年6月21日

it is not as extensive as other courses in Coursera, it should try to expand a little more its content

創建者 Leon V

2017年4月4日

Seemed more introductory, here are the tools - go have fun rather than actually teaching teaching

創建者 Kamruzzaman T

2020年6月29日

One of the best courses. However, the assignment questions lack clarity. Teaching Staff absent.

創建者 Daniel W

2020年5月28日

I liked the course but not so much the fact that every assessment was to be reviewd by peers

創建者 David M

2018年10月14日

Much more refined that course 1 in the specialisation. Worthwhile to practice matplotlib

創建者 Karen Y

2017年7月30日

This course gave a solid introduction to plotting, charting, and data representation.

創建者 Isuru W

2018年7月3日

This is ok. I don't think it is very structured. Homeworks are not guided well

創建者 Richard L

2018年8月20日

More technical guidance and concrete examples would be much appreciated.

創建者 Harshith S

2019年6月3日

Better than the previous one. But still very vague explanations

創建者 Sanjay S

2020年8月11日

This was a good course. I learned a lot about charting.

創建者 Xavier P C

2020年4月20日

The only course in the specialization that's worth to do

創建者 Peter B

2018年2月9日

Fine for learning matplotlib, little additional benefit