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 Quiz Questions and Use Cases
2024 Learners
Academic Partners & International Accreditations
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
Tools Covered
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
- Get Quiz Questions and Use Cases
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 Support
- Job Placements in Insurance Analytics Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in Live Projects
- Offline Hiring Events
Call us Today!
Certificate
Earn a Insurance Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Insurance Analytics Course Certificate is your passport to an accelerated career path.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
Our Alumni Work At
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FAQs for Insurance Analytics Training Program
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.
After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.
Jobs in the field of Insurance Analytics
There are various job roles and positions available in the field of insurance analytics. Here are some common job titles you may come across: Insurance Data Analyst , Risk Analyst/Manager , Fraud Analyst/Investigator , Actuarial Analyst , Predictive Modeler , Underwriting Analyst , Customer Analytics Manager , Business Intelligence Analyst , Insurance Operations Analyst , Data Science Manager.
Salaries for Insurnace Analytics Experts
Entry-level insurance data analysts can expect salaries ranging from $50,000 to $80,000 per year, depending on factors such as location and company size. With experience and expertise, the salary can increase to $80,000 to $120,000 or more.
Insurance Analytics Course Projects
Insurance analytics courses often include practical projects that allow participants to apply their knowledge and skills to real-world scenarios. Here are a few project ideas that are commonly included in insurance analytics courses:
Claims Fraud Detection
Risk Prediction and Underwriting
Customer Segmentation and Personalization
Premium Pricing Optimization
Loss Ratio Analysis
Customer Churn Prediction
Role of Open Source Tools in Insurance Analytics
Open source tools play a significant role in insurance analytics by providing accessible and cost-effective solutions for data analysis, modelling, and visualisation. Here are some key roles that open source tools play in insurance analytics:
Data Processing and Manipulation
Data Analytics and Machine Learning
Visualisation and Reporting
Big Data Analytics
Natural Language Processing (NLP)
Modes of Training for Insurance Analytics Course
Training for insurance analytics courses can be delivered through various modes to accommodate different learning preferences and needs. Here are some common modes of training for insurance analytics courses:
In-Person Classroom Training
Online Instructor-Led Training (ILT)
Self-Paced Online Courses
Blended Learning
Corporate Training
Webinars and Workshops
Industry Application of Insurance Analytics Course
The Insurance Analytics course has various industry applications across the insurance sector. Here are some key industry applications where the knowledge and skills gained from an Insurance Analytics course can be applied: Risk Assessment and Underwriting
Claims Management
Customer Segmentation and Personalization
Pricing and Product Development
Pricing and Product Development
Predictive Modeling and Forecasting
Actuarial Analysis
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
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