Initiative

Python for Data Scraping, Data Analysis and Machine Learning

SATLE
Digital Learning

About this initiative

This project aims to create a comprehensive video series to enhance digital literacy in key areas of finance. The series will cover Python programming for financial modelling, data analysis, data scraping, and machine learning. Additionally, it will demonstrate how to deploy artificial intelligence to build a robust database on digital assets enforcement actions by the SEC (Securities and Exchange Commission) and CFTC (Commodity Futures Trading Commission). By providing practical, hands-on tutorials, this initiative seeks to equip students and professionals with the essential digital skills needed to navigate and leverage modern financial technologies. The expected impact is to foster a deeper understanding of digital tools in finance, enhance data-driven decision-making, and prepare students for the evolving landscape of financial regulation and enforcement. 

Lead organisations

Technological University Dublin

Affiliated organisations

Linked open educational resources

Initiative details

Funding programmes SATLE
Themes Digital Learning
Status
Completed
Activity type
Local Enhancement Programme
Award year
2024
End year
2025
Funding amount (€)
5000

Project lead

Brian Byrne

Contributors