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Cambrian College
Sudbury, Ontario, Canada
FM
Professor
2
General
  • Post-graduate; Capstone
  • 40 learners; teams of 5
  • 200 hours per learner
  • Dates set by experience
  • Educators assign learners to projects
Preferred companies
  • 7/7 project matches
  • Anywhere
  • Academic experience
  • Startup, Large enterprise, Non profit, Small to medium enterprise, Social enterprise
  • Any industries
Categories
Data Data visualization Data analysis Data modelling Market research
Project timeline
  • May 3, 2024
    Experience start
  • June 19, 2024
    Experience end
Overview
Details

Cambrian College, renowned for its Analytics Capstone program, offers a unique opportunity for employers to collaborate with post-graduate learners seeking hands-on experience in analytics. As part of their curriculum, students engage in real-world projects, honing their skills while delivering tangible results for external partners. Learners, equipped with proficiency in Python, R, SQL, Excel, PowerBI, and Tableau, seek projects encompassing data analysis, programming, app development, and more. Employers are invited to facilitate this experiential learning journey by providing guidance, regular communication, and constructive feedback to student teams. By partnering with Cambrian College, employers not only contribute to the development of future analytics professionals but also benefit from innovative solutions tailored to their needs.

Learner skills
Python, Powerbi, Databases, Tableau
Deliverables

At the conclusion of the project, employers can expect a comprehensive final report summarizing key findings and recommendations proposed by the student team. Additionally, employers will have the opportunity to attend a final presentation where learners will showcase their project outcomes and address any queries or feedback.

Project Examples
  1. Market Analysis and Forecasting: Collaborate with students to analyze market trends, identify opportunities, and develop predictive models to forecast future market dynamics.
  2. Program Evaluation and Optimization: Engage students in evaluating existing programs, conducting data-driven analysis, and proposing recommendations for optimization and improvement.
  3. Dashboard Development: Partner with learners to design and develop interactive dashboards using PowerBI or Tableau, visualizing key performance indicators and facilitating data-driven decision-making.
  4. IoT Data Analysis: Explore the potential of IoT data by collaborating with students to collect, analyze, and derive insights from sensor data, optimizing processes and enhancing operational efficiency.

Project Criteria:

While diverse projects are welcomed, projects solely focused on administrative tasks or unrelated to analytics are not suitable for this collaboration.

Additional company criteria

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

Can you provide a brief overview of the project objectives and the type of data involved?

What level of involvement and communication can we expect from your team throughout the project duration?