BZAN 1137 Statistical Computing: Programming in R

Name: Statistical Computing: Programming in R
Rating: 4.02 (300 reviews)

This course provides an introduction to statistical computing which includes setup of the R operating environment, programming in R, reading data in R, accessing R packages, writing R scripts, and creating R markdown documents. Examples are drawn from the variety of topics covered in business statistics. Students who have completed BZAN1135 or OPER1135/1136 are not eligible to take this course.

Course overview

Department: Business Analytics
School: CSOM
Credits: 1
Level: Undergraduate
Offered: Periodically in the Fall,Periodically in the Spring

Requirements fulfilled

Carroll School Core: Statistical Analysis option (Classes of 2026–2029)
Business Analytics: Business Analytics elective options (Class of 2027 and beyond)

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Official evaluation summary

4.02 / 5

Based on 300 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Linda Boardman Liu
Fall 2026, Spring 2026, Fall 2025, Spring 2025, Fall 2024, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021 · Official rating 4.48/5
Xiaohong Pan
Fall 2026, Fall 2025 · Official rating 4.17/5
Stephanie Jernigan
Spring 2025, Spring 2024 · Official rating 4.27/5

Sections

Section 01
Fall 2026 · Linda Boardman Liu · Fulton Hall 310 Tu 03:00PM-04:15PM · Offered
Section 02
Fall 2026 · Xiaohong Pan · Fulton Hall 110 F 10:00AM-11:15AM · Offered
Section 03
Fall 2026 · Xiaohong Pan · Fulton Hall 220 M 09:00AM-10:15AM · Offered
Section 04
Fall 2026 · Xiaohong Pan · Fulton Hall 220 W 09:00AM-10:15AM · Offered