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Visualization for Data Analytics

CPSC 4820
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
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Categories
Data visualization Data analysis
Skills
data pipelines python (programming language) machine learning data modeling consulting predictive modeling 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
16 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 data pipeline, direction for how to use and interpretation for the dashboard.
  • All applicable source code and dashboard.


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

Students may work with the company on any of the following topics:

  • Interactive Dashboard for management level, monitoring level or working level.
  • Identify and interpret informative patterns and trends in data.
  • Select the appropriate type of visualization to answer an organizational question.
  • Create effective visualizations representing the relationships contained in complex data sets for both qualitative and quantitative data.
  • Incorporate data visualization techniques in presentation and reports.



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

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Specific data to be provided by company

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