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Applying Data Analytics: Math Students Addressing Real-World Problems

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MacEwan University
MacEwan University
Edmonton, Alberta, Canada
Barb Hudkins
Experiential Learning Facilitator
(16)
6
Timeline
  • January 16, 2024
    Experience start
  • April 5, 2024
    Experience end
Experience
2/4 project matches
Dates set by experience
Preferred companies
Anywhere
Family owned, Non profit, Small to medium enterprise
Any industries
Categories
Education
Skills
mathematics decision science computer simulation data analysis
Student goals and capabilities

Working with small teams, student consultant(s) in their third year of Decision Sciences at MacEwan will work with organizations to design and complete a specified project over 13 weeks. We are seeking potential partners and projects.

NOTE: Students will use all the experience and learnings gained over their three-year program to consult, plan, and execute your project.

Students
Undergraduate
Any level
30 Students
Project
6 hours per Student
Students self-assign
Teams of 5
Expected outcomes and deliverables
  • While we cannot guarantee a final functional project, the community partner organization will receive their final project deliverables by the end of the Fall term. The expected deliverable is a computer simulation of the problem with solutions is shared with the community partner.
Project timeline
  • January 16, 2024
    Experience start
  • April 5, 2024
    Experience end
Project Examples

Partnership Opportunity

Working in teams of 4 - 6 students, our 3rd year Accounting Diploma students will apply their knowledge of data analytics to a real-life organization with a particular problem/challenge. A Community Partner project can include(but is not limited to) one or more of the following business intelligence consulting:

● data analysis/exploration using software(Excel, Tableau, PowerBI,etc.)

● data visualization by creating dashboards or other analytics visual tools

● Statistical analysis, forecasting, or any other accounting/financial analysis Project examples could include:

● Forecasting the organization's future performance in sales using analytics techniques.

● Perform sensitivity analysis for an organization and then analyze future cashflows using financial analysis techniques.

● Demonstrate the use of predictive statistics and analytics visualizations for your business/industry needs