University of North Dakota (UND)
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Capstone Project Business Analytics - Winter 2024

Closed
Cape Breton University
Cape Breton University
Sydney, Nova Scotia, Canada
Jamileh Yousefi
Associate Professor
(10)
5
Timeline
  • February 5, 2024
    Experience start
  • April 9, 2024
    Experience end
Experience
12/10 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Categories
Machine learning Data visualization Data analysis Data modelling
Skills
data visualization data analysis python r data scraping classification prediction
Learner goals and capabilities

This Capstone Project provides students with the opportunity to demonstrate competency on the key concepts of business analytics. Students will integrate knowledge gained throughout the program - including leadership and management principals, analytical skills, data visualization, data mining, and statistics – to complete the capstone project. By taking this course, students will be guided through the process of developing their soft (communications) and hard (Technical) skills while delivering a business analytics project to support decision making in organizations. The emphasis will be on the application of methodologies and analytical tools to solve real-world problems in R&D, marketing, supply chain, healthcare, finance and/or other disciplines.

Learners
Post-graduate
Any level
36 learners
Project
200 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables

Deliverables are negotiable, and will seek to align the needs of the students and the organization.

Some final project deliverables might include:

  1. A 10-15 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations
Project timeline
  • February 5, 2024
    Experience start
  • April 9, 2024
    Experience end
Project Examples

Students in groups of 3-4 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.

Project activities that students can complete may include, but are not limited to:

  • Apply business analytics approaches to a complex project.
  • Apply data mining and data visualization techniques to gain insights for decision makers.
  • Use descriptive and predictive analysis tools to predict outcomes.
  • Identify suitable secondary data sources for answering a question and be able to produce or conceptualize primary data to answer a question.
  • Clearly convey results to an external audience and should be able to produce a written summary of those results.
Companies must answer the following questions to submit a match request to this experience:

Is the dataset for the project available?