Oregon State University 4 credits CS
Explores the data science life cycle using appropriate Python libraries. Topics include current data science areas, data gathering, cleaning, formatting, and types, an introduction to supervised (decision trees) and unsupervised (clustering) learning, exploratory data analysis, data communication, decision science methodologies, storytelling, and narratives in data science.
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