— Gateway to Statistical Data Science

Prerequisites & course information

Course Description: Probability concepts; programming in R; exploratory data analysis; sampling distribution; estimation and inference; linear regression; simulations; resampling methods. Alternative to STA 013 for students with a background in calculus and programming. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Credit Limitation(s): Only 2 units of credit allowed to students who have taken STA 013 ; not open for credit to students who have taken STA 100 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Credit Limitation(s): Only 2 units of credit allowed to students who have taken STA 013 ; not open for credit to students who have taken STA 100 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL).