Data Analysis Assistance

BUS 4045
Open Closing on October 24, 2025 / 2 spots left
Main contact
George Brown College
Toronto, Ontario, Canada
Tom Supra
Educator
5
Experience
4/6 project matches
Dates set by teams
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Marketing analytics Data analysis Data modelling Data science
Skills
stakeholder engagement presentations statistical modeling data quality predictive modeling data visualization data analysis dashboard decision making innovation
Learner goals and capabilities

Our Data Analysis post-graduate students are nearing the completion of their program and are eager to apply their skills in real-world scenarios.


These students have been trained in advanced data analysis techniques, statistical modeling (eg. regression), and data visualization. Working in teams of five, they are prepared to tackle your data challenges by transforming raw data into actionable insights. They are also quite capable in data visualization.


By collaborating with our students, your organization can benefit from fresh perspectives and innovative solutions to your data-driven projects, and our students will be so grateful for the experience.

Learners

Learners
Post-graduate
Intermediate levels
30 learners
Project
42-84 hours per learner
Educators assign learners to projects
Teams of 5

Team size may not exceed 6

Up to 6 team(s) or 30 learner(s) per project.
Each learner can join up to 2 teams
Expected outcomes and deliverables
  • Comprehensive data analysis reports with actionable insights
  • Possible interactive data dashboards for real-time decision making
  • Predictive models to forecast trends and outcomes
  • Data visualization presentations for stakeholder engagement
  • Data cleaning and preprocessing scripts for improved data quality
  • Preparation including data audits

Project examples

  • Analyzing customer data to identify purchasing patterns and preferences
  • Developing a predictive model to forecast sales trends for the next quarter
  • Creating an interactive dashboard to monitor key performance indicators
  • Conducting a market analysis to identify potential growth opportunities
  • Evaluating the effectiveness of marketing campaigns through data analysis
  • Assessing employee performance metrics to improve productivity

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
    Does your company have raw data our students can use and manipulate?  *
  • Q2 - Checkbox
    Are you able to provide data quickly as the course has begun?  *
  • Q3 - Checkbox
    Are you available to meet with students (virtually) Thursday evenings?