Université de Hearst
Université de Hearst
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Data Insights

MGOD30
Fermé
Contact principal
University of Toronto
University of Toronto
Toronto, Ontario, Canada
Andre Augusto Cire
Andre Augusto Cire
Associate Professor
(1)
4
Chronologie
  • janvier 21, 2019
    Début de expérience
  • avril 11, 2019
    Fin de expérience
Expérience
3/1 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Any
N'importe qu'elle industrie

Portée de Expérience

Catégories
Comptabilité Technologie de l'information Opérations Gestion de projet
Compétences
data analytics data modeling python modelling big data
Objectifs et capacités de apprenant.es

Student-consultants will analyze data sets using state-of-the-art technologies to identify trends, establish correlations, and submit recommendations based on predictive models that can enhance decision-making in your organization.

Apprenant.es

Apprenant.es
Premier cycle universitaire
Tout niveau
20 apprenant.es dans le programme
Projet
40 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 10-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
  • janvier 21, 2019
    Début de expérience
  • avril 11, 2019
    Fin de expérience

Exemples de projets

Beginning in late February, a class of student-consultants in groups of four will spend 60 hours per team performing a thorough investigation of data sets to tackle a managerial question. Tools such as Python and Tableau 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.

Example projects include, but are not limited to:

  • Analysis of customer segmentation relative to different products and services, to enhance marketing campaigns and refocus your products/services.
  • Investigate predictive models to understand trends in sales, attrition rates, and profits that impact your business.
  • Propose new ways to visualize data through tables and plots that can provide new insights for managers.

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
    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.
  • Q2 - Case à cocher
    Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).
  • Q3 - Case à cocher
    Be available for an introductory session at the beginning of the project (in person or virtual).
  • Q4 - Case à cocher
    Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address student’s questions or provide additional information.