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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

4.5
5,989件の評価
1,014件のレビュー

コースについて

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....

人気のレビュー

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.

フィルター:

Applied Plotting, Charting & Data Representation in Python: 951 - 975 / 998 レビュー

by Adria L

2021年10月7日

Nice course but poor feedback. Grades are made by other alumns and some of them doesn't take it seriously.

by 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

by Leon V

2017年4月4日

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

by Kamruzzaman T

2020年6月29日

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

by 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

by David M

2018年10月14日

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

by Karen Y

2017年7月30日

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

by Isuru W

2018年7月3日

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

by Richard L

2018年8月20日

More technical guidance and concrete examples would be much appreciated.

by Deepalakshmi K

2019年6月3日

Better than the previous one. But still very vague explanations

by Sanjay S

2020年8月11日

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

by Xavier P C

2020年4月20日

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

by Peter B

2018年2月9日

Fine for learning matplotlib, little additional benefit

by Sylvain D

2018年3月19日

Good but I feel not comfortable with peer reviewing...

by Jesús P

2018年1月9日

Not so good as the first course of the specialization

by John W

2018年3月20日

Solid, but not as good as Applied Machine Learning.

by Rizvaan M

2020年5月5日

Overall a good course, but has to improve.

by Sandeep S

2019年9月19日

Week 4 - Assignment is very frustrating.

by Avi S

2018年6月29日

tough unexplained assignments

by Rahul G

2018年7月3日

Peer grading is not worthy

by Mohd S M

2020年5月6日

Little hard to understand

by Qiang L

2019年1月15日

Skills taught is limited.

by Camila U

2020年11月11日

This was a hard one.

by Muhammad s k

2019年10月12日

Not a defining one

by Vishen M

2018年2月7日

Good course.