Predictive & Prescriptive Data Analytics Spring 2024

STAT8051
Closed
Conestoga College
Kitchener, Ontario, Canada
Tao Xu He
Dr.
(1)
5
Timeline
  • May 20, 2024
    Experience start
  • August 1, 2024
    Experience end
Experience
5/6 project matches
Dates set by experience
Preferred companies
Canada
Any company type
Any industries

Experience scope

Categories
Machine learning Artificial intelligence Data analysis Data science
Skills
prescriptive analytics master of business administration (mba) mathematics machine learning self-motivation artificial intelligence computer science data analysis predictive analytics
Learner goals and capabilities

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.

Learners

Learners
Graduate
Intermediate levels
15 learners
Project
8 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

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.

Project timeline
  • May 20, 2024
    Experience start
  • August 1, 2024
    Experience end

Project Examples

Requirements
  • 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