The virtual course "Applied plotting, graphics and data representation in Python - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 20 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
This course will introduce the student to the basic concepts of information visualization, with a focus on reports and graphs using the matplotlib library.
The course will begin with a design and information literacy perspective, addressing what makes a good and bad view, and what statistical measures translate to in terms of views.
The second week will focus on the technology used to make visualizations in python, matplotlib, and will introduce users to best practices when creating basic plots and how to make design decisions within the framework.
The third week will be a tutorial on the functionality available in matplotlib and will demonstrate a variety of basic statistical plots that will help students identify when a particular method is good for a particular problem.
The course will end with a discussion of other ways to structure and visualize data.
This course should be taken after Introduction to Data Science in Python and before the rest 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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University of Michigan
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