University of Alberta
Log in Sign up

2024 Spring Data Mining for Data Analytics

CPSC 4830
Closed
Langara College
Langara College
Vancouver, British Columbia, Canada
Vincent Yeung
Instructor
4
Timeline
  • March 8, 2024
    Experience start
  • April 22, 2024
    Experience end
Experience
6 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Categories
Machine learning Artificial intelligence Data analysis Data modelling Data science
Skills
python (programming language) machine learning predictive modeling spring data data modeling consulting tableau (business intelligence software) decision making
Learner goals and capabilities

A class of student-consultants will spend an entire semester performing a thorough investigation of data sets to tackle a managerial question. Tools such as Tableau and Python packages will be leveraged for data modeling, machine learning, and visualization.

Based on the information that you provide, groups will develop predictive models and managerial insights into key aspects of your organization. Each team will propose solutions and implementation strategies to improve your decision-making processes and outcomes.

Learners
Post-graduate
Any level
25 learners
Project
50 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables

Final deliverables will include:

  • A slide deck with conclusions and recommendations for a 15 to 30-minute consulting presentation.
  • A written report with details of the predictive models that were developed, including insights and overall recommendations that are inferred from such models.
  • All applicable source code.


Project timeline
  • March 8, 2024
    Experience start
  • April 22, 2024
    Experience end
Project Examples

Example projects include, but are not limited to:

  • Customer Analytics and Customer Behavioural models
  • Bioinformatics models
  • Computer Vision models
  • Financial Data for predictive model
  • Or only have data and do not have ideas how to link up with your business


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

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

Be available for an introductory session at the beginning of the project (in person or virtual).

Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address students questions or provide additional information.

Provide students with the data necessary to conduct their data mining analysis.