Data Analytics Capstone Project
Timeline
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January 19, 2021Experience start
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May 2, 2021Experience end
Categories
Information technology Data analysisSkills
business analytics data analysis research data analysis, data science concepts, text analytics model development deployment and documentationThis 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.
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 timeline
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January 19, 2021Experience start
-
May 2, 2021Experience end
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.
Companies must answer the following questions to submit a match request to this experience:
Have a clear objective.
Provide a dedicated contact staff member who is available to answer periodic emails, phone calls, and routine check-ins over the duration of the project.
Have a clear understanding and be in possession of data relevant to the project.
Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.
Timeline
-
January 19, 2021Experience start
-
May 2, 2021Experience end