BZAN 3445 Data Visualization

This course covers foundations of data visualization and best practices to help students effectively analyze data and present their insights clearly in a way that will engage their audience. The course provides discussions and presentations on topics such as visual perception, the various chart types and when to use them, the effective use of colors, typography, maps, and other visualization techniques for incorporating analytics and storytelling, and teaches through many examples of compare and contrast. The conceptual discussions will be integrated with hands-on experience using Tableau. This course was formerly numbered: ISYS3445

Course overview

Department
Business Analytics
School
CSOM
Credits
3
Level
Undergraduate
Offered
null

Requirements fulfilled

  • Business Analytics: Business Analytics elective options (Class of 2027 and beyond)
  • Information Systems: Information Systems elective options (Classes of 2027 and 2028; concentration ends after the Class of 2028)

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

Official evaluation summary

3.59 / 5

Based on 91 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

  • Anna Karpovsky
    Fall 2026, Spring 2026, Fall 2025, Spring 2025 · Official rating 3.90/5

Sections

  • Section 01
    Fall 2026 · Anna Karpovsky · Fulton Hall 260 MW 03:00PM-04:15PM · Offered