Data Analytics Capstone Project

DAB 402
Closed
St. Clair College
Windsor, Ontario, Canada
Instructor
(3)
5
Timeline
  • May 20, 2022
    Experience start
  • August 20, 2022
    Project Scope Meeting
  • August 20, 2022
    Experience end
Experience
17/15 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Machine learning Artificial intelligence Data visualization Data analysis Data modelling
Skills
deployment project data analysis data collection
Learner goals and capabilities

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.

Learners
Diploma
Any level
40 learners
Project
75 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

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
  • May 20, 2022
    Experience start
  • August 20, 2022
    Project Scope Meeting
  • August 20, 2022
    Experience end
Project Examples
  • python
  • business analytics
  • data analysis, data science concepts, text analytics
  • model development deployment and documentation
  • data analytics, machine learning, deep learning, ai
Companies must answer the following questions to submit a match request to this experience:

A representative of the company will be available to answer questions from students in a timely manner for the duration of the project.

A representative of the company will be available for a pre-selection discussion with the administrator of the course to review the project scope.