Team Name:
Matcha latte
Team Members:
Matcha latte
In this project, we aim to build a model that uses AI and government data to predict young people's likely choices when making education and training decisions. Our goal is to provide insights into potential employment and financial outcomes.
Description of Use Extract the employment status of students aged from 15 to 24, filtered by socio-economic status: from most disadvantaged (1) to least disadvantaged (5).
Description of Use Here's a paraphrased version: Provide an overview of the employment trends and related statistics for individuals aged 15-24 during 2022 and 2023.
Description of Use This data highlights the correlation between educational attainment and employment among individuals aged 15 to 74, focusing on non-school qualifications (e.g., certificates, diplomas, degrees). This data can be used to understand the impact of educational qualifications on employment trends and demographic disparities in education and work participation for 2022-2023.
Description of Use Extracts employment rates and median salaries after graduation of undergraduates, postgraduate coursework, and postgraduate research students after a short-term period (after graduation) and a medium-term period (1 to 3 years).
#Study success: Choosing the right study paths
Eligibility: Open to participants including university students and professional researchers
Go to Challenge | 17 teams have entered this challenge.
