About this course
PROGRAMME DESCRIPTION
This hands-on course is designed to build from Python basics to applied technical competence at IBF TSC Level 3. Participants will identify, select and utilise appropriate statistical techniques, data models and algorithms using Python and AI-assisted tools to perform data analysis, test trading hypotheses, and derive actionable insights from financial market data within a regulated environment.
What you will learn
LEARNING OBJECTIVES
1. Learn to apply basic python programming techniques to perform financial data analysis and modelling, including data types, structures and functions.
2. Identify and utilise appropriate statistical indicators and algorithms for trading strategy development.
3. Prepare, clean and visualise financial datasets to support hypothesis testing and decision-making.
4. Develop and backtest systematic trading strategies using historical market data, and interpret outputs to identify patterns, risks and unintended outcomes.
5. Use AI-assisted tools responsibly to enhance coding productivity, and recognise governance, ethical and regulatory considerations when applying AI in finance.