— Fundamentals of Statistical Data Science

Prerequisites & course information

Course Description: Introduction to computing for data analysis & visualization, and simulation, using a high-level language (e.g., R). Computational reasoning, computationally intensive statistical methods, reading tabular & non-standard data. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Data Science majors and Statistics & Biostatistics graduate students. Credit Limitation(s): Not open for credit to students who have taken STA 141 or STA 242 . Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Data Science majors and Statistics & Biostatistics graduate students. Credit Limitation(s): Not open for credit to students who have taken STA 141 or STA 242 . Grade Mode: Letter.