Communication is a fundamental component of the urban analytics pipeline or workflow. In data science, the last mile problem refers to the difficulty data analysts often have in communicating results to non-technical stakeholders and decision makers. This course will teach the art of spatial data communication, teaching students how to act as translators from technical analyses to a non-technical audience. We will learn how to clearly write about and describe data, develop effective data visualizations, write clean and reproducible code, and present analytical results in a compelling way. We will also spend time on the front-end of the process, learning to translate user needs into spatial data science projects.
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