CZRM 900 - Introduction to Retail Analytics
Course Description
Designed to help you build skills quickly, this course focuses on interpreting standard store reporting dashboards without getting lost in complex statistical modeling; for example, learning to track essential metrics such as conversion rate, average shopping cart value, and foot traffic. Learners will identify key performance indicators (KPIs) in the retail space, explore dashboards, and experiment with basic analytical AI tools, enhancing their ability to use data to improve operational and strategic outcomes.
Learner Outcomes
You will learn to:
- Track basic retail metrics related to sales, inventory, and space efficiency
- Interpret weekly Point of Sale (POS) dashboards to identify top-performing and underperforming Stock Keeping Unit codes (SKUs)
- Use dashboards and AI tools to assess performance trends and develop data-driven recommendations for improvement
What to Expect
Develop practical, career-ready skills through a focused learning experience designed around real-world application.
You’ll work through practical activities and workplace-relevant scenarios that help you interpret retail data, identify performance trends, and use dashboards and AI tools to inform decisions you may encounter on the job. You’ll also benefit from the expertise and guidance of an experienced instructor as you progress through the course.
Rather than simply testing what you know, the course gives you the opportunity to demonstrate what you can do through a practical, competency-based assessment built around a realistic work scenario.
Earn a Microcredential
Demonstrate your skills and earn a Curv microcredential.
A microcredential recognizes your ability to apply specific knowledge and skills to a defined standard. As part of this course, you will have the opportunity to demonstrate your competency through a practical, workplace-relevant assessment.
In this course, you will demonstrate your ability to analyze retail performance data using key metrics, dashboards, and AI tools to develop data-driven recommendations for improvement.
Successfully demonstrate the required competency and you will earn a Curv microcredential from The Chang School, a recognized credential that validates your skills and can be showcased to employers across your professional networks.
Notes
This course is offered in an online, primarily asynchronous format.
Asynchronous learning means that you will not typically have to be online at specific times. You will engage with course material through online content and activities that you can work through independently. You will have deadlines for assignment and assessment submissions.
Your instructor may also include occasional scheduled sessions for Q&As or discussion activities using web-conferencing tools such as Zoom or Google Meet. Details will be included in your course outline, which will be available on the first day of class.
If you have questions about enrolling in a course or need assistance, contact ce@torontomu.ca.