Predictive & Prescriptive Data Analytics - Fall 2024

STAT8051
Fermé
Contact principal
Conestoga College
Kitchener, Ontario, Canada
Il
Dr.
(2)
5
Chronologie
  • septembre 2, 2024
    Début de expérience
  • janvier 1, 2025
    Fin de expérience
Expérience
1/3 match de projet
Dates fixées par le expérience
Entreprises privilégiées
Canada
Tout type de entreprise
N'importe qu'elle industrie

Portée de Expérience

Catégories
Apprentissage automatique Intelligence artificielle Analyse des données Data science
Compétences
prescriptive analytics master of business administration (mba) mathematics machine learning self-motivation artificial intelligence computer science data analysis predictive analytics
Objectifs et capacités de apprenant.es

A group of capable and self-motivated students in the Predictive Analytics Program are ready to take on challenges from industry, applying the cutting-edge Machine Learning and Artificial Intelligence technologies to practical data analytics problems, and aiming at exerting values out of the business data.


The group consists of students with various backgrounds in their previous studies - mathematics, statistics, computer science and MBA, and different level of experiences in industry. Accepting this group of students on your crucial data analytics project is surely mutually beneficial to your business and our students.

Apprenant.es

Apprenant.es
Finissant
Niveau Intermédiaire
15 apprenant.es dans le programme
Projet
8 heures par apprenant.e
Les apprenant.es s'auto-attribuent
Équipes de 4
Résultats et livrables attendus

The goal of the project attempts to deliver business advantages from the existing data. Upon the completion of a project, a comprehensive report is presented with highlights given on valuable hidden patterns and predictive results. For Prescriptive Analytics, insightful suggestions that address the business resources optimization will be provided.

Chronologie du projet
  • septembre 2, 2024
    Début de expérience
  • janvier 1, 2025
    Fin de expérience

Exemples de projets

  • Exploratory data analytics, combined with data visualization, to help business identify micro patterns from daily transactional data and Web Analytics.
  • Data mining/Machine learning, to help business understand mid-term to long-term patterns from data such as customer's behavior, seasonal or annual sales & demands prediction. Notable projects including IMDB and Twitter Sentiment Analysis, predictive analysis for retailer stores and local businesses
  • Decision making, to help business control the utilization of resources so as to maximize the profit expectation.
  • Students are also involved in AI-powered research projects in Computer Vision & Cyber Security