This experience is designed for learners who are developing skills in data analysis and business decision-making. Participants are capable of analyzing real-world data sets and providing actionable insights to support strategic business decisions. Through client interaction and feedback, learners will refine their ability to translate data into meaningful business recommendations. This experience allows learners to apply their analytical skills to real-world projects, enhancing their professional portfolio.

This experience offers learners the opportunity to apply their data analysis skills in real-world scenarios, guided by two experienced professors. Participants will work collaboratively to interpret data, identify trends, and provide actionable insights. By engaging with industry projects, learners will enhance their ability to translate classroom knowledge into practical solutions, preparing them for future roles in data-driven environments. These students are the top 5% business department students of the GBC.

Overall Info: Welcome to George Brown College's Experiential Learning Program, where we bridge the gap between academia and industry by offering students hands-on experiences with real-world projects. Our MGMT4103 course focuses on Supply Chain Management, a critical aspect of modern business operations. Our students are eager to apply their theoretical knowledge to practical situations, under the mentorship of industry professionals like yourself. This course is a field focused, student centric project. Students learn through applied field-experience, being designated as a Supply Chain Analyst for a real-world client. Steps for Matching: Step 1: Match Request Submission: As an employer, you'll submit a match request outlining your project. We'll then schedule a video call to discuss the project's suitability and alignment with our learning objectives. Step 2: Pre-Approval: Upon mutual agreement, both parties will confirm the match on the Riipen platform, marking the project as pre-approved. Step 3: Students Choosing: The pre-approved project will be made available for our students to select based on their interests and skills. Step 4: Collaboration Starts: All communication and collaboration will be facilitated through the Riipen platform, ensuring transparency and efficiency. Ideal Partner: We're seeking partners from volunteer placement activities within community, government, or private organizations. Ideal projects involve real-world challenges that align with our course objectives and provide students with valuable learning opportunities.

This experience is designed for learners in data analytics and business management programs who are eager to apply their technical and analytical skills to real-world scenarios. Participants will engage in projects that require the use of programming, data visualization, and business analysis to address complex business challenges. The focus is on developing project management skills, enhancing teamwork, and effectively communicating actionable insights to stakeholders. Learners will be prepared to contribute to professional roles in analytics and business strategy by delivering data-driven solutions.