MCIS 2200 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. STEM-designated.

Course overview

Department
Messina College
School
MCBC
Credits
0
Level
Undergraduate
Offered
Every Spring

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.50 / 5

Based on 4 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

Sections

No current section details are available.