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Applied Predictive Analytics for Business Insights

Closed
Conestoga College
Conestoga College
Kitchener, Ontario, Canada
Tao Xu
He
Dr.
(2)
5
Timeline
  • January 31, 2025
    Experience start
  • May 1, 2025
    Experience end
Experience
2/2 project matches
Dates set by experience
Preferred companies
Canada
Any company type
Any industries

Experience scope

Categories
Machine learning Artificial intelligence Data analysis Data modelling Data science
Skills
analytical skills mathematics machine learning predictive modeling artificial intelligence data visualization computer science data analysis statistics
Learner goals and capabilities

In the Predictive Analytics Program, a diverse group of students with backgrounds in mathematics, statistics, computer science, and business administration are equipped to tackle real-world data challenges. These students are proficient in leveraging Machine Learning and Artificial Intelligence to derive actionable insights from business data. By engaging with industry projects, they aim to apply their classroom knowledge to solve practical problems, enhancing their analytical skills while delivering tangible value to your business.

Learners

Learners
Post-graduate
Intermediate, Advanced levels
15 learners
Project
60 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables
  • Comprehensive data analysis reports with actionable insights
  • Predictive models tailored to specific business needs
  • Data visualization dashboards for decision-making support
  • Documentation of analytical processes and methodologies
  • Presentation of findings and recommendations to stakeholders
Project timeline
  • January 31, 2025
    Experience start
  • May 1, 2025
    Experience end

Project Examples

Requirements
  • Developing a predictive model to forecast customer churn
  • Analyzing sales data to identify trends and optimize inventory
  • Creating a recommendation system for personalized marketing
  • Evaluating the impact of pricing strategies on sales performance
  • Designing a dashboard to monitor key performance indicators
  • Assessing the effectiveness of a recent marketing campaign
  • Predicting demand for a new product launch
  • Optimizing supply chain operations through data analysis

Additional company criteria

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

  • Q1 - Text short
    Upon a satisfactory completion of the project, will you provide individual students a certification (or references) to justifiy their contribution on the project?