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Data Visualization

CPSC 4820
Closed
Langara College
Langara College
Vancouver, British Columbia, Canada
Chinmaya Mahapatra
Instructor
(1)
3
Timeline
  • October 9, 2021
    Experience start
  • October 9, 2021
    Project Scope Meeting
  • November 19, 2021
    Midway check in
  • January 2, 2022
    Experience end
Experience
3/5 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Information technology Data analysis
Skills
business analytics data visualization python r deep learning data mining and analysis
Learner goals and capabilities

Is your company looking to gain uncover trends and patterns in data, through effective visualization thereof?

Our students from Langara College are eager to effectively communicate both qualitative and quantitative data in tables, charts, and infographics. They have learnt and can apply colour theory, visual perception, and cognition, as well as design principles in the development of appropriate data visualizations for your company.

Learners
Diploma
Any level
25 learners
Project
30 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

Final deliverables will include:

  • A slide deck with conclusions and recommendations for a 15-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
  • October 9, 2021
    Experience start
  • October 9, 2021
    Project Scope Meeting
  • November 19, 2021
    Midway check in
  • January 2, 2022
    Experience end
Project Examples

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

  • 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.
  • Create data visualizations that adhere to ethical principles and standards for data presentation, storage, citation, and protection.
  • Incorporate data visualization techniques in presentation and reports.
  • Support your visualizations with written and oral explanations of their interpretations.
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? (Ask Chinmaya)

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.