Enhance Your Business with Data-Driven Insights

BUSADMIN O712
Fermé
Project Coordinator, Academic Experiential Learning, DeGroote School of Business
(4)
5
Chronologie
  • octobre 15, 2024
    Début de expérience
  • octobre 15, 2024
    Kick-off meeting
  • décembre 13, 2024
    Final Report
  • décembre 14, 2024
    Fin de expérience
Expérience
2 projets souhaités
Dates fixées par le expérience
Entreprises privilégiées
Canada
Tout type de entreprise
N'importe qu'elle industrie

Portée de Expérience

Catégories
Visualisation des données Analyse des données Modélisation des données Data science
Compétences
data preprocessing exploratory data analysis python (programming language) machine learning data analysis
Objectifs et capacités de apprenant.es

The DeGroote School of Business is proud to present a unique opportunity through our course, Data Analytics with Python. Our students in our Master of Business Administration program, will be equipped with comprehensive skills in Python programming and data analytics. They are prepared to tackle real-world business challenges by performing data preprocessing, visualization, exploratory data analysis, and building statistical and machine learning models. This hands-on experience is designed to produce data-driven business decisions and valuable managerial insights.


Employers participating in this experience are expected to engage in communication with the learners, provide necessary information for the project's success, attend the final presentation virtually, and offer constructive, professional feedback through the Riipen platform. Your guidance will be instrumental in shaping the future of these aspiring data analysts.

Apprenant.es

Apprenant.es
Finissant
Niveau Débutant, Intermédiaire
35 apprenant.es dans le programme
Projet
25 heures par apprenant.e
Les Professeur.euses affectent les apprenant.es à des projets
Équipes de 4
Résultats et livrables attendus

At the end of this collaboration, employers will receive:

  • A comprehensive final report detailing the main findings and actionable recommendations proposed by the student teams.
  • A final presentation where learners will present the project results and answer any questions, providing a thorough understanding of the data-driven insights generated.


Chronologie du projet
  • octobre 15, 2024
    Début de expérience
  • octobre 15, 2024
    Kick-off meeting
  • décembre 13, 2024
    Final Report
  • décembre 14, 2024
    Fin de expérience

Exemples de projets

Exigances

To ensure the best fit for our learners and the success of your project, we suggest the following types of projects:


  1. Sales/Demand Forecasting: Develop predictive models to forecast future sales based on historical data.
  2. Churn Prediction: Implement machine learning models to predict customer churn and suggest retention strategies.
  3. Social Media Sentiment Analysis: Analyze social media data to gauge public sentiment about your brand and products.
  4. Market Basket Analysis: Use transactional data to identify customer purchasing behaviors.
  5. Customer Segmentation: Analyze customer data to identify distinct segments and tailor marketing efforts to each group.


Critères supplé mentaires pour entreprise

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

  • Q1 - Texte long
    What type of data will be available for the students to work with?  *
  • Q2 - Texte court
    Is the data clean and ready for analysis?  *
  • Q4 - Texte court
    Are you able to commit to timely communication and feedback throughout the project duration?  *
  • Q5 - Texte court
    Can you attend a virtual final presentation to review the project outcomes and provide feedback?  *