Navigating Financial Modelling with Excel, Power BI and AI
Financial modelling plays a critical role in modern decision making, enabling finance professionals to translate data into insight for budgeting, forecasting, valuation, performance management and risk analysis.
Excel has long been the foundation of financial modelling, offering flexibility, transparency and control. Power BI extends these capabilities by enabling scalable data models, interactive dashboards and enterprise grade reporting. More recently, AI and Python based analytics have introduced predictive modelling, automation and advanced statistical techniques, allowing finance teams to move beyond descriptive analysis toward forward looking, insight driven decision support.
Generative AI tools like ChatGPT and Copilot now serve as powerful co-pilots for finance professionals helping validate code, clean data, generate Python scripts, explain complex concepts, and accelerate analytical workflows. The concept and contents of an ESG (Environment, Social and Governance) programme comprise the materials for day three of this course. Finally, we will review the nature, meaning, and application of elements of Machine Learning.
This four-day programme integrates Excel, Power BI, AI prompting techniques, ESG, and Machine Learning into a coherent financial modelling framework. Participants will build robust, auditable, and decision-ready models using the right tool for the right task, with a strong emphasis on real-world application and AI-augmented productivity.
The course balances technical depth with professional judgement, ensuring that models are not only accurate, but also scalable, transparent and trusted by stakeholders.
This programme is designed for finance professionals, accountants and analysts who already work with financial models and want to strengthen their capability across Excel, Power BI and AI enabled analytics.
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