Business Data Analytics Insights (University of Toronto)
General
- Undergraduate; 4th year
- 20 learners; teams of 4
- 45 hours per learner
- Dates set by experience
- Educators assign learners to projects
Preferred companies
- 1/3 project matches
- Anywhere
- Academic experience
- Any company type
- Any industries
Categories
Project timeline
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May 1, 2024Experience start
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August 16, 2024Experience end
Overview
- Details
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Student-consultants in our Advanced Business Data Analytics class will analyze data sets using state-of-the-art technologies to identify trends, establish relationships, and submit recommendations that can enhance decision-making in your organization.
- Learner skills
- Data analytics, Business consulting, Data modeling
- Deliverables
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Final deliverables will include:
- A slide deck with conclusions and recommendations from a 10-minute consulting presentation.
- A written report with details of the models used, insights, and overall recommendations.
- All applicable source code.
Project Examples
A class of business students is excited to address your managerial data problem, providing insights and suggesting possible data-driven solutions. Our class leverages tools in data analytics, prediction, and visualization, specifically in Python and Microsoft Power BI.
The students are organized in teams of four, each focused on solutions and implementation strategies to improve your decision-making processes and outcomes.
Example projects include, but are not limited to:
- Perform an exploratory data analysis of your dataset to identify trends and patterns.
- Investigate predictive models to understand correlations, attrition rates, and profits that impact your business.
- Clustering and segmentation analysis.
- Propose new ways to visualize data through tables and plots that can provide new insights for managers.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Be available for a quick phone call with the organizer to initiate your relationship and confirm your scope is an appropriate fit for the experience.
Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).
Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address students questions or provide additional information.
Be available for an introductory session at the beginning of the project (in person or virtual).