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Description

Official Description

4.0 Continuing Education Units (CEUs)

This course will explore the fundamental analytic methods and tools used to collect, analyze and interpret business data to gain insight into and inform business decision-making. Special emphasis is placed on data modeling tools and techniques used by business analysts to accurately define and communicate business requirements, and to determine relationships, business rules and data management methods for any project.

 

Supplementary Information

30 hours in class plus approx. 10 hours of assignments.


This course has been approved for the Visées program funding.

Develop the skills of your teams with this training, and benefit from a grant of up to $8,000!

The Visées program is an initiative of the Fédération des Chambres de Commerce du Québec (FCCQ) and the Chambre de Commerce du Montréal Métropolitain (CCMM), funded by Upskill Canada (powered by Palette Skills) and the Government of Canada.

When applying to Visées for tuition reimbursement, please use reference code: MCGILL-007.

Apply for a grant from the Visées program

Topics Covered

Data literacy and an analytical mindset have become valuable skills not only for data scientists, but for business managers as well. Explore fundamental analytical methods, use them to collect and analyze data, and learn how to translate the results into informed business decisions.

Featured topics include:

  • Data Management
  • Introduction to data modelling
  • Data modelling concepts
  • Data modelling techniques
  • Business rules analysis
  • Data Dictionary
  • Introduction to business analytics
  • What is a business centered on data?
  • Business analytics in decision making process
  • Business analytics process modelling
  • Introduction to basic business analytics
  • Introduction to advanced business analytics
  • The future of business analytics

Learning Outcomes

The course is designed to enable you to:

  • Acquire essential knowledge about data modelling and business analytics
  • Understand the role and impact of data analytics in business
  • Communicate data models and business analytics to various stakeholders
  • Apply data modelling techniques and manage data requirements
  • Conduct three fundamental types of data analysis: descriptive, diagnostic, and predictive
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Section(s) offered
Section Title
Introduction to Business Analytics and Data Modeling
Language of Delivery
English
Type
Online Course, fixed date
Days
W
Time
6:00PM to 9:00PM
Dates
Sep 03, 2025 to Nov 05, 2025
Schedule and Location
Contact Hours
30.0
Delivery Format(s)
Course Fee(s)
Fees non-credit $1,497.54
Drop Request Deadline
May 28, 2025 to Sep 10, 2025
Transfer Request Deadline
May 28, 2025 to Sep 10, 2025
Withdrawal Request Deadline
Sep 10, 2025 to Sep 17, 2025
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
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