Toggle Side Panel

Shopping Cart

No products in the cart.

Close search

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.

GKK LOGO .ai (3)
Current Status
Not Enrolled
Price
Closed
Get Started
Take Course

About the course

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.

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.

Premium

Closed

Take Course
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

Partners