Applied Plotting, Charting, and Data Presentation in Python

This course will introduce students to the basics of data visualization, with a focus on creating reports and charts using the matplotlib library. The course will begin with a design and information literacy perspective, covering what makes a good and bad visualization, as well as how statistics are reflected in visualizations. The second week will focus on the technology used to create visualizations in python, matplotlib, and will introduce users to best practices for creating basic charts and how to implement design decisions within this framework. The third week will be a tutorial on the functionality available in matplotlib, demonstrating a variety of basic statistical charts, helping students identify when each method is good for a particular problem. The course will conclude with a discussion of other forms of data structuring and visualization. This course should be taken after Introduction to Data Science with Python and before the other Applied Data Science with Python courses: Applied Machine Learning with Python, Applied Text Mining with Python, and Applied Social Media Analysis with Python.