DSC604 Statistics for Data Science

[2–0, 2 cr.]

This course provides a comprehensive understanding of fundamental statistical concepts that are essential for data analysis. The course explores basic statistical concepts including data modeling, random variables and hypothesis testing, clustering, principal component analysis, linear models, logistic regression, and analysis of variance.  The course tackles common mistakes and issues in data analysis and interpretation of results.