Capstone Project Business Analytics - Winter 2024
Chronologie
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février 5, 2024Début de expérience
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avril 9, 2024Fin de expérience
Catégories
Apprentissage automatique Visualisation des données Analyse des données Modélisation des donnéesCompétences
data visualization data analysis python r data scraping classification predictionThis 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.
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
Chronologie du projet
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février 5, 2024Début de expérience
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avril 9, 2024Fin de expérience
Exemples de projets
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.
Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:
Is the dataset for the project available?
Chronologie
-
février 5, 2024Début de expérience
-
avril 9, 2024Fin de expérience