Summer 2025 Capstone Project | Data Analytics | DANA4850

DANA4850
Fermé
Contact principal
Langara College
Vancouver, British Columbia, Canada
Instructor
(3)
5
Expérience
2/5 match de projet
Dates fixées par les projets
Entreprises privilégiées
Canada
Small to medium enterprise
Business & management, Business services, Consumer goods & services, Cosmetics & beauty, Energy

Portée de Expérience

Catégories
Apprentissage automatique Intelligence artificielle Analyse des données Modélisation des données Data science
Compétences
programming languages python (programming language) machine learning sas (software) data analysis r (programming language) artificial intelligence
Objectifs et capacités de apprenant.es

Students who enrolled in the DANA program would typically take courses within 4 semesters. Some students would take the fifth semester for gain more experience through a work term. The details of course per semesters are outlined on this page (https://langara.ca/programs-and-courses/programs/data-analytics/program-curriculum.html).


During their final semester (4th semester), students would take the Capstone Project course. Through the capstone projects, teams consisting of 3-4 students work collaboratively over a period of approximately 4 months to progressively develop solutions ranging from initial concepts to functional prototypes. Their efforts involve applying AI and various machine learning techniques to analyze diverse types of data such as numbers, images, and texts. Students possess programming skills in Python, R and SAS.



Apprenant.es

Apprenant.es
étudiant.e de cycle supérieur
Niveau Intermédiaire
20 apprenant.es dans le programme
Projet
20 heures par apprenant.e
Les Professeur.euses affectent les apprenant.es à des projets
Équipes de 3
Résultats et livrables attendus

Companies acting as clients will hold all copyrights to the work produced by students and instructors. If there is a potential for peer-reviewed publications, capstone instructors will seek permission from the companies before publishing.


Deliverables typically consist of reports and codes submitted to the clients. However, the formats and programming languages may vary based on the clients' specific requirements.



Exemples de projets

Students and capstone instructors have developed a number of prototypes that help companies to improve their business operations and services, such as:


  • Build predictive models capable of estimating the likelihood of object survival utilizing multiple machine learning algorithms, to predict outcomes;
  • Create customer segmentation by analyzing individual personas, profiles, and behavioral patterns;
  • Analyze data in the text format (customers’ feedback or reports) to find our topics of customers’ concerns;
  • Customize recommendations are made based on multiple parameters;
  • Analyze a wide variety of Key Performance Indicators (KPI) that allows for building correlations and models for enhanced predictions and continuous improvements;
  • Object detection using various images.



Note that the DANA program strives to increase the employability of our students. Hence, this is a great opportunity for student to have their hands on working with datasets from the industries, such as healthcare, bio-informatics, and retails. I am more than happy to provide more details about the Capstone course as well as the DANA program, and perhaps discuss further your needs and how DANA can assist you in improving your business operations and services.



What a capstone project is not:

  • Setting up and/or maintaining a database.
  • Software development. Although our students learn some basic principles of software development, they are not generally equipped to build production-level software systems. Software development projects would also typically be less well aligned with the students’ interests and the learning objectives of the capstone course.

Critères supplé mentaires pour entreprise

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

  • Q1 - Texte court
    Do you have high-quality data that addresses a specific problem or question faced by your organisation?  *
  • Q2 - Texte court
    Does your organisation allocate official resources for working with capstone teams? (time for meeting and giving feedback, or computational resources, or advice, etc...)?  *
  • Q3 - Texte court
    Does your organisation require to have an agreement on data sharing, licensing, and intellectual property rights?  *
  • Q4 - Texte court
    Do you have raw data that spans over a period of more than one year? We require this for developing predictive models.  *
  • Q5 - Texte court
    Could you kindly provide a sample of the data you currently have? It can be attached after the request has been sent.  *