What are the prerequisites to attend this course?
Basic understanding of data analysis, machine learning, python, and mathematics is required to attend this course.
Will there be an instructor also in this course?
Yes, an instructor will be there for in-person delivery and online (instructor-led) delivery.
What is the mode of delivery?
This course has different modes of delivery. It can be taken in person from a center over the weeks, or it can be taken online as well based on your own convenience.
Who can attend this course?
This course is suitable for beginners as well as professionals who want to establish their careers in the BFSI analytics space.
Capstone Project
A complete project applying BFSI Analytics techniques to a real-world problem in the BFSI industry.
Case Studies and Applications
This module covers real-world applications of BFSI Analytics in various contexts, including retail banking, investment banking, and insurance.
Emerging Trends in BFSI Analytics
This module covers the latest trends and developments in BFSI Analytics, including artificial intelligence, machine learning, and blockchain.
Regulatory Compliance Analytics
This module covers the techniques for ensuring compliance with regulatory requirements in the BFSI industry, including anti-money laundering (AML) and Know Your Customer (KYC) regulations.
Financial Analytics
This module covers the techniques for analyzing financial performance in the BFSI industry, including financial modeling, budgeting, and forecasting.
Sales and Marketing Analytics
This module covers the techniques for analyzing sales and marketing performance in the BFSI industry, including lead scoring, campaign optimization, and customer acquisition cost.