Customer Analytics
This module covers the techniques for understanding and analyzing customer behavior in the BFSI industry, including customer segmentation, lifetime value, and customer journey mapping.
Fraud Detection Analytics
This module covers the techniques for detecting and preventing fraud in the BFSI industry, including transaction monitoring, anomaly detection, and predictive modeling.
Risk Management Analytics
This module covers the techniques for managing risk in the BFSI industry, including credit risk, market risk, and operational risk.
Data Visualization and Reporting
This module covers the tools and techniques for visualizing and reporting BFSI data, including dashboards, charts, and graphs.
Introduction to BFSI Analytics
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…
How the completeness of each section is measured in the course?
There are MCQ-based short tests given after each section to assess the understanding of a learner in each section. Finally, the capstone project is evaluated manually by the instructors.
Who can get the certificate?
All attendees who complete all sections of the course along with the capstone project will get the certificate.
What job roles can i take if i attend this course?
Data scientists, Reinforcement learning engineer, AI Scientists, etc. roles can be explored after taking this course.
What are the prerequisites to attend this course?
Basic understanding of machine learning, python, and mathematics is required to attend this course.