— Introduction to Statistical Data Science II

Prerequisites & course information

Course Description: Programming in R; Summarization and visualization of different data types; Concepts of correlation, regression, classification and clustering. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Visual Literacy (VL). Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Visual Literacy (VL).