First Nations University of Canada
First Nations University of Canada
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Data Analytics Placements

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London Metropolitan University
London Metropolitan University
London, England, United Kingdom
Tanweer Eddoo
Employer Engagement Admnistrator
(1)
3
Timeline
  • March 25, 2021
    Experience start
  • November 27, 2020
    Project Scope Meeting
  • May 31, 2021
    Experience end
Experience
1/3 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Information technology Data analysis Operations Project management
Skills
project planning business consulting data analysis research
Learner goals and capabilities

This work placement allows students to put their theoretical skills into practice within your company. It constitutes a structured period of work-based learning which has been shown to help undergraduate students put into practice a wide range of technical knowledge such as:

  • Data Visualisation
  • Data Mining for Business Intelligence
  • Financial Mathematics
  • Programming for Data Analytics
  • Statistical Modeling and Forecasting

In addition, students are given the opportunity to develop their professional competence in a working environment, benefiting from mentoring and support from experienced professionals.

Students are available for up to 150 hours starting November till the end of January 2021. This is an unpaid for-credit experience.

Learners

Learners
Undergraduate
Any level
30 learners
Project
150 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables

The final deliverable will vary depending on the scope of the project.

Students need to complete 150 hours by the end of May 2021.

Project timeline
  • March 25, 2021
    Experience start
  • November 27, 2020
    Project Scope Meeting
  • May 31, 2021
    Experience end

Project Examples

Requirements

Students can work individually or in groups of up to 5 in a wide range of Data Analytic related tasks. Tasks completion will be under the supervision of an academic advisor. The advisor is a designated member of staff at our university who will support our students in the tasks to be done.

Students can work with the following:

  • Database creation - SQL Server and Oracle
  • Data Analytics with advanced mathematics and statistics
  • Create models using data analysis and visualisation
  • Apply supervised and unsupervised methods to analyse and predict data trends
  • Data analysis with descriptive statistics, correlation analysis, and linear regression model
  • Numeric and categorical variable analysis
  • Examining relationships between interval data with correlation analysis
  • Modelling relationships of multiple variables with linear regression

Additional company criteria

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

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