Data Insights and Visualization Sprint with Laurentian University

CPSC 5306
Open Closing on March 7, 2025 / 2 spots left
Associate Professor
2
Timeline
  • March 7, 2025
    Experience start
  • May 14, 2025
    Experience end
Experience
2 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Artificial intelligence Data visualization Data analysis Data modelling Data science
Skills
machine learning python (programming language)
Learner goals and capabilities

This experience is designed for graduate students specializing in data mining, machine learning, and data science. These learners are equipped with skills in analyzing complex datasets, developing predictive models, and creating compelling visualizations. The objective is to apply these skills to real-world projects, enabling students to translate theoretical knowledge into practical solutions. By engaging in these projects, learners will enhance their problem-solving abilities and gain valuable experience in delivering actionable insights.

Learners

Learners
Graduate
Beginner, Intermediate levels
20 learners
Project
30 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables
  • Comprehensive data analysis report with actionable insights
  • Predictive model with performance metrics
  • Interactive data visualization dashboard
  • Technical documentation and presentation of findings
  • Prototype of a data-driven application
Project timeline
  • March 7, 2025
    Experience start
  • May 14, 2025
    Experience end

Project Examples

Requirements
  • Develop a predictive model to forecast customer churn for a retail company
  • Create an interactive dashboard to visualize sales trends for a small business
  • Analyze social media data to identify emerging trends in consumer behavior
  • Design a recommendation system for an online streaming service
  • Conduct a sentiment analysis on customer reviews for a product launch
  • Build a prototype for an automated data cleaning tool
  • Visualize the impact of marketing campaigns using historical data
  • Perform a clustering analysis to segment customers based on purchasing patterns