Capstone Project for Business Analytics

BUSS 5802
Closed
Cape Breton University
Sydney, Nova Scotia, Canada
Associate Professor of Data Analytics
(4)
5
Timeline
  • September 14, 2021
    Experience start
  • December 9, 2021
    Experience end
Experience
4/10 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Information technology Data analysis
Skills
problem analysis semantic web machine learning data visualization data analysis
Learner goals and capabilities

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.

Learners
Post-graduate
Any level
40 learners
Project
50 hours per learner
Learners self-assign
Teams of 3
Expected outcomes and 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 timeline
  • September 14, 2021
    Experience start
  • December 9, 2021
    Experience end
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

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

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope in an appropriate fit.

Email to professor