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Data Visualization

CPSC 4820
Fermé
Contact principal
Langara College
Langara College
Vancouver, British Columbia, Canada
Chinmaya Mahapatra
Instructor
(1)
3
Chronologie
  • octobre 9, 2021
    Début de expérience
  • octobre 9, 2021
    Project Scope Meeting
  • novembre 19, 2021
    Midway check in
  • janvier 2, 2022
    Fin de expérience
Expérience
3/5 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Any
N'importe qu'elle industrie

Portée de Expérience

Catégories
Technologie de l'information Analyse des données
Compétences
business analytics data visualization python r deep learning data mining and analysis
Objectifs et capacités de apprenant.es

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.

Apprenant.es

Apprenant.es
Diplôme
Tout niveau
25 apprenant.es dans le programme
Projet
30 heures par apprenant.e
Les apprenant.es s'auto-attribuent
Équipes de 4
Résultats et livrables attendus

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.
Chronologie du projet
  • octobre 9, 2021
    Début de expérience
  • octobre 9, 2021
    Project Scope Meeting
  • novembre 19, 2021
    Midway check in
  • janvier 2, 2022
    Fin de expérience

Exemples de projets

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.

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

  • Q1 - Case à cocher
    Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
  • Q2 - Case à cocher
    Specific data to be provided by company? (Ask Chinmaya)
  • Q3 - Case à cocher
    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.