Laurier Flow
⌘K

© 2026 LaurierFlow. All rights reserved.

AboutPrivacy


CP 610

Data Analysis

Data analysis is a burgeoning field that allows organizations to discover patterns in data to help explain current behaviours or predict future outcomes. In this course, students learn the theories, techniques and practices involved in modern data analysis in order to effectively collect, process, interpret and use data in decision making. The course utilizes case studies from fields such as finance and statistics to expose students to topics including data collection, storage, processing, representation, and reporting, and also further develop their decision-making skills using decision trees and artificial intelligence.

100%Liked
80%Easy
80%Useful
Based on 1 rating

Prerequisites

No Prerequisite Information Available

Leads To

No Leads To Information Available

Restrictions

Must be enrolled in one of the following Levels:Graduate (GR)Must be enrolled in one of the following Degrees:Master of Applied Computing (MAC)

Reviews

I took this course as part of the MCS program and really enjoyed it. The ***essments were reasonable and accurately reflected lesson content, and the instructor was very helpful.

Easy
Useful
Liked

— Applied Computing (MAC) student, taught by Yang Liu

Schedule