Course Outline

Module 1; Introduction to Data Analytics in BFSI

·         Overview of data analytics applications in finance

·         Importance of data-driven decision-making in BFSI

Module 2; Data Collection and Preparation

·         Sources of financial data

·         Cleaning and preprocessing financial datasets

Module 3; Descriptive Analytics in Finance

·         Statistical measures for financial data

·         Visualization techniques for financial insights

Module 4; Predictive Analytics for Risk Management

·         Building predictive models for risk assessment

·         Scenario analysis using predictive analytics

Module 5; Fraud Detection and Prevention

·         Identifying patterns indicative of fraud

·         Implementing machine learning for fraud detection

Module 6; Customer Segmentation and Profiling

·         Customer segmentation strategies

·         Creating customer profiles for personalized services

Module 7; Real-time Analytics in BFSI

·         Implementing real-time analytics for dynamic decision-making

·         Case studies on real-time applications in finance

Module 8; Ethical Considerations in BFSI Analytics

·         Addressing ethical challenges in data analytics

·         Ensuring compliance with data privacy regulations