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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- 4 stars23.40%
- 3 stars6.28%
- 2 stars1.98%
- 1 star1.49%
来自APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON的热门评论
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
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 ..
Beautifully designed course to grasp and utilize the knowledge gained. Also the assignments are meant to utilize real world data and practical solutions to it! wonder course, highly recommended!
Inspires you to create attractive visualisations with a balanced representation, while creating something what you really want, while actively suggesting to explore the API to get to that result.