Red River College Polytechnic
Red River College Polytechnic
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Data Analytics

COSC2667
Closed
RMIT University
RMIT University
Melbourne, Victoria, Australia
Helen McPartlan
Associate Director WIL and Engagement
1
Timeline
  • March 7, 2021
    Experience start
  • March 8, 2021
    Project Scope Meeting
  • May 29, 2021
    Experience end
Experience
5 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Information technology Data analysis
Skills
data science data analysis problem solving team work project management
Learner goals and capabilities

Data Sci

Requirements

240 hours over a 12 week period

  • Typically completed in groups (unless otherwise authorised by academic)
  • ExaPrototype approach to identifying culture in businesses using natural language processing.
  • Establishing correlations and relationships between variables to improve mailouts. Predicting and estimating part attributes that are useful for determining.
  • Analysing survey data to identify sentiment towards identified topics and product/brand.
  • Predicting and identifying students at risk of failure for early intervention.
  • Building of dashboards to summarise and analyse company’s performance.
  • Cleaning and merging of multiple data sets to perform subsequent summarisation and analysis.

Learners

Learners
Graduate
Any level
5 learners
Project
120 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

Company deliverables can include reports, slide decks, and oral presentations detailing research, analysis, and recommendations developed during the project.

Project timeline
  • March 7, 2021
    Experience start
  • March 8, 2021
    Project Scope Meeting
  • May 29, 2021
    Experience end

Project Examples

Requirements

Students can work on projects that may include but are not limited to:

  • Data visualization, including multivariate analysis, customer segmentation model, and time-to-failure analysis

Example of a previous project:

A major Melbourne water supply company has a yearly gas check maintenance program for sewer reticulation cleaning including key customers and key events. The organisation was interested in finding out how effective these programs are, that is, how often these reticulation lines and manholes report a blockage after cleaning, and if the frequency of blockages in these assets has come down as a result of preventative maintenance programs. RMIT students deciphered whether prevention programs reduce the need for responses by making use of multivariate analysis of variance techniques.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q - Checkbox
  • Q - Checkbox
  • Q - Checkbox