Oregon State University 4 credits DS
Explores the data life cycle which includes how data are created, collected, imported, described, used and analyzed. Considers how data are used properly and ethically. Examines regression and classification methods, experiments with basic tools in Python, and compares output between regression and classification models. Provides a brief overview of recent data science trends, including its societal impact and limitations.
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