Applying Data Analytics: Math Students Addressing Real-World Problems
General
- Undergraduate
- 30 learners; teams of 5
- 6 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 2/4 project matches
- Anywhere
- Academic experience
- Family owned, Non profit, Small to medium enterprise
- Any
Categories
Skills
Project timeline
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January 16, 2024Experience start
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April 5, 2024Experience end
Overview
- Details
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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.
- Learner skills
- Mathematics, Decision science, Computer simulation, Data analysis
- Deliverables
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- 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 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