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.
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귀하가 습득할 기술
- 5 stars66.83%
- 4 stars23.40%
- 3 stars6.28%
- 2 stars1.98%
- 1 star1.49%
APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON의 최상위 리뷰
Nice course to study more aplicable to become data science. this provide any basic ploting that give insight and knowledge how to build data visualization more efectively and insightfull
I thought this was a really good introduction to matplotlib and some of the things you can do with it. The final project we got to apply what we'd learned to real data, which was a lot of fun.
Excellent Course as the previous one in this specialization. One of the things I liked is the skills gained in previous course are required to start the assignment. Very well designed as always
This course is really helped me not only to increase my knowledge about the tools but also with the help of the additional reading and optional assignment help me out to improve my skill.
Python과 함께하는 응용 데이터 과학 특화 과정 정보
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