Principles of Data Analytics
COMP 2099
Course description
Students learn core data analytics concepts and the organizational value of data‑driven decision‑making. Students develop practical skills to extract, clean, and combine data from multiple sources, and use AI‑enabled analytical tools to support data preparation, pattern discovery, and visualization. Emphasis is placed on producing clear, meaningful outputs for diverse stakeholders
Credits
3
Course Hours
42
Prerequisites
Post Secondary level COMP 2003 RD 1 Minimum Grade of 50Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.
For more information, please contact Continuing Education