Embark on a transformative collaboration with Algoma University's School of Computer Science and Technology. Our course, "Data Analysis with Python," empowers learners to delve into advanced data analysis techniques and algorithms using the Python programming language. We invite industry partners to engage with our dynamic learners and contribute to their growth in the realm of data analysis.

Ideal Employer Profile:

We seek industry partners well-versed in data analysis, Python programming, and scientific computation. Ideal collaborators should value fostering confidence and competency in data analysis, aligning with the goals of our course. 

Steps for Matching:

1. Submit a match request through the Riipen platform with a well-defined project proposal.

2. Arrange a video call to discuss the potential collaboration and ensure mutual alignment.

3. If both parties agree, accept the match on the Riipen platform.

*At this stage, the match is only pre-approved.

4. Students will choose the projects they'd like to work on, and you will receive a platform notification if your project is selected by a student group.

*If your project is not selected, the match will be canceled afterwards.

5. Upon project completion, provide feedback on the Riipen platform to showcase the valuable work experience gained by students.

Partnering with us opens the door to valuable deliverables:

1. Detailed Analysis Report:

   - Statistical summaries, charts, and tables providing a quantitative perspective on the data.

2. Comparative Analysis:

   - Side-by-side comparisons, charts, or graphs illustrating the comparative results.

3. Recommendations:

   - Specific recommendations supported by analysis and insights.

4. Data Quality Assessment:

   - A detailed report outlining assessment results, identified issues, and proposed solutions.

5. Project Presentation:

   - Attend the online presentation where students present their findings, allowing you to ask further questions and engage with their insights.