Banking Data Analytics

Course Overview

A practical, domain‑focused course that teaches learners how to use data to improve banking operations, customer insights, risk management, fraud detection, and financial decision‑making. The course covers core banking datasets, credit risk modelling, customer segmentation, transaction analytics, regulatory reporting, predictive modelling, and data‑driven optimisation across retail, corporate, and digital banking environments.

Target Audience

• Banking analysts, risk teams, and financial operations professionals

• Credit, fraud, compliance, and regulatory reporting teams

• Data analysts, BI developers, and decision‑support teams in financial services

• Product, digital, and customer experience teams in banks and fintechs

• Students or professionals entering banking, finance, or analytics roles

Course Outcomes

• Understand banking data sources, structures, and regulatory requirements

• Analyse customer behaviour, product usage, and transaction patterns

• Apply credit risk, fraud detection, and churn prediction models

• Use data to support lending decisions, portfolio monitoring, and risk mitigation

• Build dashboards for financial performance, compliance, and operational insights

• Evaluate profitability, cost‑to‑serve, and customer lifetime value

• Identify anomalies, risks, and optimisation opportunities across banking processes

• Communicate analytical insights clearly to risk, operations, and leadership teams