This module covers the techniques for understanding and analyzing customer behavior in the BFSI industry, including customer segmentation, lifetime value, and customer journey mapping.

This module covers the techniques for detecting and preventing fraud in the BFSI industry, including transaction monitoring, anomaly detection, and predictive modeling.

This module covers the techniques for managing risk in the BFSI industry, including credit risk, market risk, and operational risk.

This module covers the tools and techniques for visualizing and reporting BFSI data, including dashboards, charts, and graphs.

This module covers the basics of BFSI Analytics, including the importance of data analytics in the BFSI industry, the types of data available, and the challenges of working with BFSI data.