DAT 108 - Foundations of Data Science

Class Hours: 3 Units: 3
Prerequisite(s): MTH 107
Co-requisite(s): DAT 108L
Introduction to inferential and computational thinking in the context of real-world applications. Topics include data types, basic concepts of computational programming, sequences, tables, functions, data visualization, causality, randomness, sampling, estimation, hypothesis testing, prediction, and inference for regression. Python will be used extensively.
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