BZAN 1137 Statistical Computing: Programming in R

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

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

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.02 / 5 · Very Good
300 responses
Instructor rating
4.45 / 5 · Very Good
300 responses
Terms evaluated
10
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Linda Boardman Liu3.74.24.64.54.24.44.03.91–3 hrs/week56 of 60
Fall 2025Linda Boardman Liu4.34.74.74.84.64.84.34.11–3 hrs/week16 of 20
Fall 2025Xiaohong Pan3.84.24.44.34.54.54.13.91–3 hrs/week12 of 15
Spring 2025Linda Boardman Liu4.04.54.64.64.24.64.54.31–3 hrs/week31 of 39
Spring 2025Stephanie Jernigan3.64.04.44.43.84.24.13.11–3 hrs/week12 of 15
Fall 2024Linda Boardman Liu4.14.54.74.74.54.74.64.61–3 hrs/week18 of 20
Spring 2024Linda Boardman Liu4.24.64.84.84.44.74.54.31–3 hrs/week27 of 31
Spring 2024Stephanie Jernigan4.04.64.84.74.44.64.13.81–3 hrs/week10 of 10
Fall 2023Linda Boardman Liu—————————12 of 15
Spring 2023Linda Boardman Liu4.24.64.74.64.34.74.64.01–3 hrs/week32 of 33
Fall 2022Linda Boardman Liu4.44.64.94.84.34.74.54.31–3 hrs/week30 of 34
Spring 2022Linda Boardman Liu4.24.74.84.74.34.84.33.91–3 hrs/week27 of 41
Fall 2021Linda Boardman Liu4.14.54.74.53.84.64.13.71–3 hrs/week17 of 26

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Linda Boardman Liu
    Spring 2027, 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
  • Stephanie Jernigan
    Spring 2025, Spring 2024 · Official rating 4.27/5
  • Xiaohong Pan
    Spring 2027, Fall 2026, Fall 2025 · Official rating 4.17/5

Sections

  • Section 01
    Spring 2027 · Linda Boardman Liu · Fulton Hall 423 Tu 03:00PM-04:15PM · Offered
  • Section 02
    Spring 2027 · Linda Boardman Liu · Fulton Hall 423 Th 03:00PM-04:15PM · Offered
  • Section 03
    Spring 2027 · Linda Boardman Liu · Fulton Hall 260 F 10:00AM-11:15AM · Offered
  • Section 04
    Spring 2027 · Xiaohong Pan · Fulton Hall 220 F 01:00PM-02:15PM · Offered
  • 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