Course Objectives:

·         Develop proficiency in financial data analysis tools and techniques

·         Understand how data analytics can enhance decision-making in banking

·         Learn to interpret and communicate insights derived from financial data

·         Apply financial analytics to solve real-world banking challenges

Course Outline

Module 1; Introduction to Financial Analytics

·         Overview of analytics in the BFSI sector

·         Importance of data-driven decision-making

Module 2; Data Collection and Preparation

·         Sources of financial data

·         Data cleaning and preprocessing techniques

Module 3; Descriptive Analytics in Banking

·         Summary statistics and visualization

·         Exploratory data analysis for financial datasets

Module 4; Predictive Analytics in Banking

·         Regression analysis for forecasting

·         Time series analysis in banking scenarios

Module 5; Prescriptive Analytics in Banking

·         Optimization models for decision support

·         Simulation and scenario planning

Module 6; Machine Learning in Finance

·         Applications of machine learning in banking

·         Predictive modeling and credit scoring