Professional Certificate in
Insurance Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Online Sessions
- 20 Hours of Free Python Programming Videos
- Get IBM Certification at Additional Cost
- Get Quiz Questions and Use Cases
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Insurance Analytics has aided the insurance and finance industry in combating fraud and delivering the best service. Insurance Analytics is defined as a process of collecting, analyzing, and extracting information from relevant sources to manage risks efficiently. Insurance Analytics can offer efficient risk protection for health, life, property, or casualty fields. The main goal of multiple insurance services offered by insurance agents and companies is to optimize risk protection and improve the customer relationship process. Insurance analytics uses predictive analytics to create reliable reports.
Overview of Insurance Analytics
360DigiTMG Insurance Analytics course offers sapience into colorful tools and results that help brokers and companies efficiently track charges, and cover multitudinous functional charges similar as deals, marketing, operations, or client support. And ensure stable fiscal operations and liquidity. 360DigiTMG course graduates can fluently develop insurance programs, optimise operations and help individuals to make informed opinions.
Insurance Analytics Course Training Learning Outcomes
Insurance Analytics has become a game-changer in the finance industry. The Certification Program in Insurance Analytics Course is a sui generis attempt to blend analytics solutions for better protection from insurance fraud and the development of new strategies for efficient customer service. Specifically designed to suit the insurance professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to insurance industry data. Our Insurance Analytics course is meant for professionals from the finance domain as it provides a comprehensive picture of how data science and artificial intelligence can be leveraged to increase the efficiency of insurance products and combat insurance fraud. Understanding the applications of Data Science, Machine Learning to insurance will be the prime objective of this content-rich program.
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Who Should Sign Up?
- Insurance Professionals
- Data Analysts and Data Scientists
- Business Intelligence Professionals
- IT Professionals
- Risk Management Professionals
- Financial Professionals
- Consultants and Advisors
Insurance Analytics Course Modules
Life Insurance Data Analysis using K-means Clustring/Insurance Price Optimization using K-Nearest Neighbour Classifier/Insurance Claim Fraud Detection using Decision Tree Classifier/Insurance Price Prediction using Regression models/Travel Insurance Claim Prediction using Neural Networks
- Insurance Types and Insurance Data
- Challenges in Insurance Analytics
- Insurance Analytics Market
- Applications and Usecases
- Stages of Insurance Analytics
- Data Mining in Insurance Analytics
- CRISP-ML(Q) in Pet Insurance Analytics
- EDA in Insurance Analytics
- Data Preprocessing in Insurance Analytics
- EDA in Health Insurance Data
- K-means Clustering in Insurance Analytics
- K-means Clustering in Market Segmentation and Designing New Products
- K-Nearest Neighbours in Insurance Analytics
- K-Nearest Neighbours Model as Price Optimization tool in Insurance Industry
- Decision Tree Model in Insurance Analytics
- Decision Tree Model for Fraud Detection in Insurance Industry
- Simple Linear Regression Model in Insurance Analytics
- Simple Linear Regression for Region-wise Prediction of Insurance Prices
- Multi-Layer Perceptron Model in Insurance Analytics
- Multi-Layer Perceptron for a Travel Insurance Company on Insurance Claim Analysis
Trends in Insurance Analytics Course
In 2021, the market for insurance analytics had a value of $9.87 billion USD. globally. According to a few surveys, this market is predicted to reach US$ 21.78 billion by 2027, growing at a CAGR of 13.30% from 2022 to 2027.
How we prepare you
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Get Quiz Questions and Use Cases
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 Support
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Job Placements in Insurance Analytics Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in Live Projects
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Offline Hiring Events
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