Course Overview Financial Modelling with Excel introduces learners to the tools, techniques, and analytical frameworks used to build robust financial models for business decision‑making. The course covers core modelling principles, spreadsheet structuring, forecasting methods, scenario analysis, valuation techniques, and sensitivity testing. Learners develop the ability to translate business assumptions into dynamic, data‑driven models that support […]

Course Overview Investment Analytics focuses on the quantitative and qualitative techniques used to evaluate financial assets, manage portfolios, and support investment decision‑making. The course covers financial statement analysis, risk and return modelling, asset valuation, portfolio optimisation, factor models, and performance measurement. Learners explore how data, analytics, and technology shape modern investment strategies across equities, fixed […]

Course Overview Risk Analytics focuses on the use of data, statistical models, and analytical techniques to identify, measure, and manage risk across business environments. The course covers risk identification frameworks, quantitative risk modelling, scenario analysis, credit and operational risk assessment, fraud analytics, and predictive modelling for risk mitigation. Learners explore how organisations use data‑driven insights […]

Course Overview A practical, industry‑focused course that teaches learners how to apply analytics, data models, and performance metrics within retail, corporate, and digital banking environments. The course covers customer analytics, credit risk, fraud detection, regulatory reporting, product performance, and data‑driven decision‑making using real banking scenarios. Target Audience Banking and financial services professionals Data analysts and […]

Course Overview A practical, analytics‑driven course that teaches learners how to assess borrower risk, build predictive credit models, and apply statistical and machine‑learning techniques used in banking and financial services. The course covers credit scoring, probability of default (PD), loss given default (LGD), exposure at default (EAD), model validation, and regulatory expectations. Target Audience Credit […]

Course Overview Fraud Detection Analytics introduces learners to the analytical techniques, statistical models, and machine‑learning methods used to identify, prevent, and monitor fraudulent activities across industries. The course covers fraud patterns, anomaly detection, risk scoring, supervised and unsupervised modelling, and real‑time monitoring systems. Learners explore how transactional data, behavioural signals, and business rules combine to […]

Course Overview FinTech Analytics explores how data, technology, and advanced analytical methods are transforming financial services. The course covers digital payments, blockchain data, credit scoring models, fraud detection, robo‑advisory systems, alternative lending analytics, and customer behaviour in digital finance. Learners examine how machine learning, automation, and real‑time data streams support decision‑making in banking, insurance, investments, […]

Course Overview Portfolio Analytics focuses on the quantitative and analytical techniques used to evaluate, construct, and optimise investment portfolios. The course covers risk–return analysis, asset allocation, diversification strategies, performance measurement, factor modelling, and portfolio optimisation methods such as mean‑variance analysis. Learners explore how financial data, statistical models, and analytical tools are applied to monitor portfolio […]

Course Overview A practical, analytics‑driven course that teaches learners how to use statistical models, financial data, and forecasting techniques to predict revenue, costs, cash flow, and business performance. The course covers time‑series analysis, scenario planning, budgeting models, variance analysis, and data‑driven financial decision‑making used in modern organisations. Target Audience Finance professionals and FP&A teams Business […]