University of Windsor
University of Windsor
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Capstone Data Science Project

DSA 8670
Closed
Main contact
Clemson University
Clemson University
Clemson, South Carolina, United States
John Tripp
John Tripp
Educator
5
Timeline
  • October 13, 2025
    Experience start
  • October 21, 2025
    Project Context Report
  • November 10, 2025
    Midpoint Analysis Report & Process Check
  • November 24, 2025
    Draft Analysis & Preliminary Deliverables
  • December 4, 2025
    Final submission preparation & Complete all steps
  • December 7, 2025
    Experience end
Experience
2/2 project matches
Dates set by experience
Agreements required
Preferred companies
Anywhere
Large enterprise, Small to medium enterprise
Banking & finance, Business & management, Manufacturing, Marketing & advertising

Experience scope

Categories
Data visualization Data analysis Data modelling Data science
Skills
nosql slack (software) data science communication data acquisition zoom (video conferencing tool)
Learner goals and capabilities

The learners in this experience are completing their final semester in a Masters of Science in Data Science and Analytics. Their technical skills include:


  • Data Acquisition, Wrangling, and Cleansing
  • Statistisical Analysis including Supervised and Unsupervised models such as regression, monte carlo, and cluster analysis.
  • Machine Learning
  • Python & R Programming
  • SQL Database and NoSQL


They are capable of completing a project - from scratch - that includes processing and cleansing data, identifying and applying the appropriate analysis techniques, and delivering and communicating resutls.

Learners

Learners
Graduate
Intermediate, Advanced levels
24 learners
Project
50 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables

Student teams need to have at least one weekly communication opportunity with the client. This can be a live zoom-type meeting, or can be asynchronous on a platform like Slack. The students MUST be able to receive feedback for weekly deliverables/work products beginning October 1, 2024.


Students will present their final projects to the customer the week of December 2, 2024. Clients will be asked to complete an evaluation form that will be a component of final grading for the team.


The team will provide all code and final deliverables to the client.

Project timeline
  • October 13, 2025
    Experience start
  • October 21, 2025
    Project Context Report
  • November 10, 2025
    Midpoint Analysis Report & Process Check
  • November 24, 2025
    Draft Analysis & Preliminary Deliverables
  • December 4, 2025
    Final submission preparation & Complete all steps
  • December 7, 2025
    Experience end

Project examples

Projects that can be completed by a part-time team of 3-4 team members. Projects might include topics such as:


  • Market analysis
  • Social Media sentiment analysis
  • Sales and operations analytics and optimization
  • Student or consumer segmentation and marketing.


The project should have data accessible to the students as of the beginning of the class (no later than 9/1/2024). The data does not have to be ready for analysis, but should be ready to be shared by that date.


Additional company criteria

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

  • Q1 - Text short
    Will you have a data set ready to be shared by September 1, 2024?  *
  • Q2 - Text short
    Will you be able to interact with the students at least once a week (either via Slack or live)?  *
  • Q3 - Text short
    Will you be able to provide final analysis and evaluation of the students by December 5th?  *