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Applied Plotting, Charting & Data Representation in Python

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.

Created by University of Michigan


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What you’ll learn


From this educational opportunity you may acquire the compentencies sought from employers in 2021. The most relevant technique within the learning opportunity that is often requested from companies is Data Analysis. The most relevant tool is Python.

Who will benefit?


Evaluating content from this learning resource with nearly 10,000 data-related job descriptions, we find that those in or pursuing Data Scientist roles have the most to gain.