Applied Statistical Methods for Data Science ((4))

Catalog description

A comprehensive introduction to advanced statistical methods with a focus on data-driven problem-solving. This course bridges the gap between statistical theory and real-world data science application, preparing students to analyze complex datasets and implement predictive models effectively. Students will gain the skills needed to apply statistical techniques to real-world challenges in data science. Practical computing with R is emphasized. No previous programming experience required.