General
- Graduate
- 50 learners; individual projects
- 50 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 3 projects wanted
- Anywhere
- Academic experience
- Any company type
- Any industries
Categories
Project timeline
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June 15, 2023Experience start
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August 31, 2023Experience end
Overview
- Details
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This capstone course is aimed at enriching student success by combining the knowledge skills and tools students have learned throughout their program. The skills are used to complete a project on a real-world challenge presented by an instructor or an industry partner. Students will use appropriate analytics techniques and tools and best practices to present results to stakeholders. Students are familiar with Excel, Python, R, SQL and variety of other tools from prior coursework.
- Deliverables
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The project will provide:
- A final report detailing the problem, attempted solutions, and results, including benchmarks, if applicable.
- Ideas for next steps in the process based on project outcomes.
Project Examples
The course provides an opportunity for businesses and learners to collaborate to identify and translate a real business problem into a data analytics problem. The project can be an end-to-end application, including data collection & preparation, analysis, visualization, evaluation against success criteria and possible methods for deployment. Project results/ recommendations will be communicated in a final report.
You should submit a high-level proposal/business problem statement including a clear connection to data analysis, relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Business datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and business problem. The course instructor will review the documents to confirm the scope and timing of the proposed problem and its alignment with the course requirements.