Building Solutions

Project Info

Team Name

Ripper Digital

Team Members


Project Description

The project aims to provide an innovative solution to the problem put forward. Using existing shared working space infrastructures, current talent pool and dynamic curriculum we wish to provide a more upto date and hands on learning solution.Being both interactive and future focused will allow for a floursing learning experience. Thus enabling more middle schoolers stay on track for STEM and build STEM based careers in the future.

#process innovation #datascience #ai #dynamic learning

Data Story

I have used the provided datasets to see the trends in dropouts, attendance and enrollment. I have then used an ABS backed dataset to find the conversion into STEM occupations. Thus I have designed and put forward my data driven solution. The datasets were used to draw both qualitative and quantitative assumptions. It is always important to have a hypothesis and test it against available clean data, which is what I have done for this project.


Project Image

Team DataSets

Description of Use This dataset was used only for qualitative purposes and the other two datasets were used to draw up quantitative analysis.

Data Set

ABS - Data on engagement in work and/or study, current and recent study, qualifications, and transitions to work

Description of Use I used this dataset to further test my hypothesis. I found that the conversion rate and possible future workforce from current students are not high. We needed to change few factors now in order to have a more capable STEM focused workforce in the future.

Data Set

Enrolment and Attendance by Year - 2021 - Whole of Year

Description of Use The data was used to do trend analysis and then visualised.

Data Set

Challenge Entries

Supporting Territory Middle School students towards digital careers

How can the Northern Territory Government support more Territory Middle School students towards digital careers?

Eligibility: Must use least one NT Open Dataset -

Go to Challenge | 9 teams have entered this challenge.