Statistical Analysis for Data Science. (3-0) 3 Credit Hours

Catalog description

Prerequisite: MAT 1073 or the equivalent. Introduction to the scientific method; principles of sampling and experimentation; scales of measurement; exploratory data analysis; basic probability; models for discrete and continuous data; simple simulations and inferences based on resampling; fundamentals of hypothesis testing and confidence intervals; analysis of variance and linear regression model; tensors and matrices. The course will emphasize data analysis and interpretation and effective communication of results through reports or presentations within data science contexts. (Same as DDTI 3023 . Credit cannot be earned for both DDTI 3023 and DS 3023 .). Course Fees: LRDS $37.50; DL01 $75.