Data Analytics for Insurance

The Certificate Programme in Data Analytics for Insurance is designed to equip learners with the skills to analyze, interpret, and leverage insurance data for better decision-making. With the insurance sector becoming increasingly data-driven, professionals need expertise in risk assessment, claims analysis, policy management, and fraud detection. This course integrates insurance domain knowledge with modern analytics tools, preparing participants for roles in underwriting, claims analytics, and InsurTech solutions.

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About the course

What will you learn

Basics of insurance operations and data sources.
Data cleaning, preparation, and visualization for insurance datasets.
Predictive analytics for underwriting and risk assessment.
Claims analysis and fraud detection using AI/ML techniques.
Pricing models, portfolio analysis, and trend forecasting.
Regulatory compliance and reporting analytics (IRDAI guidelines).
Dashboards and reporting tools for policy and claims management.
Case studies on insurance analytics and digital transformation in InsurTech.

Who is this for

Students aspiring for careers in insurance analytics or InsurTech.
Insurance professionals in underwriting, claims, or operations.
Data analysts seeking specialization in the insurance sector.
Actuaries and risk managers looking to enhance data-driven decision-making skills.
Entrepreneurs in the insurance and fintech domains.

Highlights

Learn the fundamentals of insurance operations and data analytics.

Explore predictive modeling and statistical analysis for risk and claims.

Gain hands-on experience with Excel, Power BI, and Python/R for insurance analytics.

Understand fraud detection techniques and anomaly detection.

Develop dashboards and visualizations for policy, claims, and risk management.

Study case studies on life, health, and general insurance.

Industry-recognized certification aligned with insurance analytics roles.

Eligibility

The eligibility criteria for this course is successful completion of high school (10+2) or an equivalent qualification.

Pre-Requisites:

Basic understanding of insurance operations and principles. Familiarity with Excel; knowledge of analytics or programming is helpful but not mandatory.

Syllabus:

Module 1: Introduction to Insurance and Data Analytics
Module 2: Data Collection and Preparation
Module 3: Excel and Business Intelligence Tools
Module 4: Predictive Analytics in Underwriting
Module 5: Claims Analysis and Fraud Detection
Module 6: Portfolio and Risk Management Analytics
Module 7: Regulatory Compliance and Reporting
Module 8: Emerging Technologies in Insurance Analytics
Module 9: Capstone Project

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About this course

Level

Beginner

Duration:

30 Hours

Downloadable Files:

Features

Certification recognized by industry standards.
Practical exposure through real insurance datasets.
Training by experts in insurance and data analytics.
Flexible learning schedule for professionals and students.
Interactive sessions, simulations, and hands-on exercises.
Career mentorship and guidance.

Mentorship

Live Sessions

Job Roles

Insurance Data Analyst
Claims Analytics Specialist
Risk and Compliance Analyst – Insurance
Fraud Detection Analyst – Insurance
Policy and Underwriting Analyst
Actuarial Data Specialist
InsurTech Analytics Consultant
Business Intelligence Analyst – Insurance
Predictive Analytics Specialist – Insurance