— Statistical Data Science I

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Principles of descriptive statistics; basic R programming; probability models; sampling variability; hypothesis tests; confidence intervals; statistical simulation. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Credit Limitation(s): Not open for credit to students who have taken STA 032 or STA 100 ; only 2 units of credit for students who have taken STA 013 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). STA 035A — Statistical Data Science I (4 units) Course Description: Principles of descriptive statistics; basic R programming; probability models; sampling variability; hypothesis tests; confidence intervals; statistical simulation. Prerequisite(s): MAT 016A (can be concurrent) or MAT 017A (can be concurrent) or MAT 019A (can be concurrent) or MAT 021A (can be concurrent). Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Fall quarter, Pass One restricted to Data Science majors only. Credit Limitation(s): Not open for credit to students who have taken STA 032 or STA 100 . Only 2 units credit for students who have taken STA 013 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). This course version is effective from, and including: Fall Quarter 2026. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Credit Limitation(s): Not open for credit to students who have taken STA 032 or STA 100 ; only 2 units of credit for students who have taken STA 013 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). STA 035A — Statistical Data Science I (4 units) Course Description: Principles of descriptive statistics; basic R programming; probability models; sampling variability; hypothesis tests; confidence intervals; statistical simulation. Prerequisite(s): MAT 016A (can be concurrent) or MAT 017A (can be concurrent) or MAT 019A (can be concurrent) or MAT 021A (can be concurrent). Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Fall quarter, Pass One restricted to Data Science majors only. Credit Limitation(s): Not open for credit to students who have taken STA 032 or STA 100 . Only 2 units credit for students who have taken STA 013 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). This course version is effective from, and including: Fall Quarter 2026.