Capstone Project Business Analytics
General
- Post-graduate
- 40 learners; teams of 4
- 120 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 10/10 project matches
- Anywhere
- Academic experience
- Any
- Any
Categories
Skills
Project timeline
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February 13, 2023Experience start
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February 14, 2023Project Scope Meeting
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February 18, 2023Project Proposal
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April 8, 2023Experience end
Timeline
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February 13, 2023Experience start
-
February 14, 2023Project Scope Meeting
Meeting between students and company to confirm: project scope, communication styles, and important dates.
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February 18, 2023Project Proposal
Student submit the proposal to the company
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April 8, 2023Experience end
Overview
- Details
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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.
- Learner skills
- Python, Business analytics, Data analytics, Research, Data analytics, machine learning, deep learning, ai
- Deliverables
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Deliverables are negotiable, and will seek to align the needs of the students and the organization.
Some final project deliverables might include:
- A 10-15 minute presentation on key findings and recommendations
- A detailed report including their research, analysis, insights and recommendations
Project Examples
Students in groups of 2-3 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.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Provide an opportunity for students to present their work and receive feedback.
Provide relevant information/data as needed for the project.
A representative of the company will be available to answer questions from students in a timely manner for the duration of the project.
How is your project relevant to the course?
A representative of the company will be available for a pre-selection discussion with the administrator of the course to review the project scope.