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Data Analytics Capstone Project

DAB402
Closed
St. Clair College
St. Clair College
Windsor, Ontario, Canada
Muhammad Anwar Shahid
Instructor
(4)
3
Timeline
  • May 26, 2022
    Experience start
  • August 14, 2022
    Experience end
Experience
6/15 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Information technology Machine learning Artificial intelligence Data analysis
Skills
python business analytics data analysis, data science concepts, text analytics model development deployment and documentation data analytics, machine learning, deep learning, ai
Learner goals and capabilities

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.

Learners
Diploma
Any level
40 learners
Project
150 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 26, 2022
    Experience start
  • August 14, 2022
    Experience 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 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.

Have a clear objective and access to dataset/database

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.