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Capstone Project for Business Analytics

Closed
Cape Breton University
Cape Breton University
Sydney, Nova Scotia, Canada
ER
Enayat Rajabi
Associate Professor of Data Analytics
(4)
5
General
  • Post-graduate; Capstone
  • 100 learners; teams of 3
  • 50 hours per learner
  • Dates set by experience
  • Educators assign learners to projects
Preferred companies
  • 1/1 project matches
  • Canada
  • Academic experience
  • Startup, Non profit, Large enterprise, Small to medium enterprise
  • Education, Any, Banking & finance, Hospital, health, wellness & medical, It & computing
Categories
Data Data visualization Data analysis Machine learning Artificial intelligence Databases
Skills
business analytics machine learning data visualization data analysis problem analysis
Project timeline
  • February 1, 2024
    Experience start
  • March 31, 2024
    Experience end
Overview
Details

The capstone project provides students with an opportunity to apply and integrate concepts learned in the Business Analytics program to solve a business problem using data analytics tools and solutions. The overall aim of the capstone project is to help students relate acquired business analytic knowledge to real business problems. This looks like an internship, a learning experience well-recognized for its impact on the student’s application of classroom knowledge to the world of work, and student’s knowledge of careers and critical career success factors. This course is an excellent opportunity for students to practice problem-solving skills. The course uses Python as the analytical tool to formulate and solve problems based on a variety of mathematical modelling techniques. Companies can define projects in data visualization, data analytics, database systems, data analysis, cloud-based services, software development, and general business analytics projects.

Learner skills
Business analytics, Machine learning, Data visualization, Data analysis, Problem analysis
Deliverables
  • Data analysis using statistical models, machine learning algorithms, and AI-based techniques
  • Visualizing data using Tableau software
  • Creating data pipeline including but not limited to data cleaning, data preparation, and data analysis
  • Technical documents as the result of data analysis
Project Examples
  • Applying machine learning techniques in different domains including Healthcare, Education, and Business
  • Clustering products of a company by different clustering algorithms
  • Predicting the salary of new employees based on previous historical data


Additional company criteria

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

What are your expectation from the students during the course of the internship (3 months)?

Do you know that this internship is virtual and will be done remotely by students?

Could you please write down the list of skills or software tools that you expect the students to work on for your project?

Do you know that students are required to have weekly meetings with companies?