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COURSE DESCRIPTION
An introduction to computing tools needed to do data science. This course assumes no prior knowledge of such tools. Using tabular datasets of social justice issues, topics will cover, information about the tools, their interfaces, and using the tools for data pre-processing and cleaning, data wrangling (i.e., transforming to “tidy” data to make it suitable for analysis), data visualization, discovering patterns and anomalies in the data, composing stories told by the data through simple hypothesis testing and simple regression modeling, and writing reproducible reports.
RESOURCES
Think Python, by Allen B. Downey (open book: http://www.greenteapress.com/thinkpython/thinkpython.htmlLinks to an external site.)
Cady, Field. The Data Science Handbook. John Wiley & Sons, Incorporated, 2017
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