Université de Hearst
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Data Analytics and Visualization Projects

MIT 728
Fermé
Contact principal
Cavendish University
Cavendish University
Chinwe Igiri
Éducateur.trice
(1)
5
Chronologie
  • mars 25, 2025
    Début de expérience
  • mai 23, 2025
    Fin de expérience
Expérience
2/2 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Tout type de entreprise
N'importe qu'elle industrie

Portée de Expérience

Catégories
Visualisation des données Analyse des données Modélisation des données
Compétences
data visualization gps data
Objectifs et capacités de apprenant.es

This experience is designed for a master's course in Data Analytics and Visualization, where learners have intermediate skills in analyzing complex datasets and creating compelling visual narratives. Using industry-standard tools and techniques, participants are trained to transform raw data into actionable insights. They are capable of tackling real-world challenges by applying data modeling and visualization strategies to deliver clear and impactful results. This experience bridges classroom learning with practical application, enabling learners to contribute effectively to industry projects.

Apprenant.es

Apprenant.es
étudiant.e de cycle supérieur
Niveau Intermédiaire
1 apprenant.e dans le programme
Projet
30 heures par apprenant.e
Les Éducateur.trices affectent les apprenant.es à des projets
Équipes de 5
Résultats et livrables attendus
  • Comprehensive data analysis reports with actionable insights
  • Interactive dashboards for data visualization
  • Predictive models using Power BI or other business intelligent tools
  • Data-driven presentations for stakeholder engagement
  • Infographics summarizing key data findings
Chronologie du projet
  • mars 25, 2025
    Début de expérience
  • mai 23, 2025
    Fin de expérience

Exemples de projets

  • Analyzing customer behavior data to enhance marketing strategies
  • Visualizing sales trends to identify growth opportunities
  • Developing a dashboard for real-time monitoring of business metrics
  • Creating predictive models for inventory management
  • Evaluating social media data to measure brand sentiment
  • Mapping geographic data to optimize logistics routes
  • Assessing financial data to forecast revenue trends
  • Designing visual reports for annual business reviews

Critères supplé mentaires pour entreprise

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

  • Q1 - Texte long
    Are you available for a brief phone call to discuss the project scope and determine if it is suitable for this experience? Have you worked with learners or interns before? If so, what was your experience? Are there any specific resources or support that learners will need to complete the project successfully? Are there any intellectual property considerations or restrictions for this project? How often do you plan to communicate with learners throughout the project? Will you be able to provide a dedicated contact person who is available for [weekly/bi-weekly] sessions to address students' questions and respond to periodic messages throughout the project?