Data Analytics in Banking - Fundamentals

Data Analytics in Banking - Fundamentals is an intensive 8-hours course designed for professionals seeking a solid foundation in the application of analytics within the banking sector. This concise and focused programme introduces the essential tools, techniques, and practical applications necessary for analysing financial data effectively. Participants will gain hands-on exposure to core analytics methods, learn to interpret datasets, and apply their knowledge to solve basic banking challenges. The course provides the groundwork for understanding analytics in banking without requiring deep technical expertise.

During this course, participants learn to:

• Understand the core principles of data analytics in a banking context

• Gain familiarity with commonly used analytics tools such as Excel, SQL, and Python basics

• Develop skills in data cleaning, descriptive analysis, and visualisation for banking datasets

• Learn fundamental techniques for predictive analytics and their applications in banking

• Interpret data-driven insights and communicate them for decision-making in financial institutions

• Apply analytics concepts to simplified, real-world banking scenarios

• Explore ethical considerations and compliance requirements in banking data analytics.

Foundations of Data Analytics in Banking

• Introduction to Data Analytics

  • Overview of Data Analytics and its impact on banking

• Data Management and Preparation

  • Basics of data collection, governance, and cleaning for quality

• Descriptive Statistics and Visualisation

  • Using summary statistics and visualisation tools to understand banking data

Core Analytical Techniques

• Predictive Analytics in Banking

  • Introduction to regression, time series forecasting, and simple use cases (e.g., credit scoring)

• Introduction to Machine Learning in Banking

  • Basics of classification and clustering with banking examples

• Tools for Analytics

  • Demonstration of practical use of Excel, SQL queries, and simple Python scripts

Applications and Ethics

• Real-World Case Study

  • Fraud detection, loan approval, or risk assessment mini-case with sample datasets

• Ethics and Compliance in Banking Data

  • Data privacy, security, and regulatory essentials

• Wrap-Up Workshop

  • Group exercise to interpret results and present quick insight

This course is suitable for:

• Financial analysts and risk management professionals seeking to strengthen their data skills

• Banking officers and managers aiming to understand the value of analytics without heavy technical detail

• IT professionals in financial institutions supporting analytics projects

• Early-career data scientists or engineers exploring applications of analytics in banking

• Entrepreneurs and fintech professionals interested in how data analytics can shape financial innovation.