P842- R FOR DATA ANALYTICS & MACHINE LEARNING (NON-LIFE)
Background:
Insurance
is extremely data-driven forward looking business. Data Analytics play extremely
important role in every facet of such business. Availability of free and
open-source software tool like R & related packages enable us to get
necessary business insight for more effective business management.
Claims
Managers, Business Data Analysts, Actuarial Scientists, IT professionals working
in Data Analytics areas and officials working in Insurance technical departments
need to develop necessary analytics skills in R. Therefore, this hands-on
training particularly focusses on GI claims analytics, loss modeling and Machine
Learning, by using R and related packages.
Contents:
ü
R for Data Analytics:
Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive & Decision
Analytics
ü
Loss Frequency
Distributions & Severity Modeling
ü
Claims Reserving
ü
R for Data Mining &
Machine Learning:
o
EDA
(Exploratory Data Analytics), Regression Modeling, Dimension Reduction using PCA
(Principal Component Analysis),
o
Prediction
Performance Evaluation
o
Classification:
CART (Classification & Regression Trees), KNN, Naive Bayes Classifier,
Logistic Regression, Neural Networks, Discriminant Analysis
o
Ensemble
and Uplift Modeling
o
Association
Rules and Collaborative Filtering
o
Cluster
Analysis
ü
Hands-on Exercises &
Case-Studies in different business areas
Participants’ Profile:
This Hands-On training is open to entire GI industry including
Brokers and other related organizations from within India as well as from other
countries. Actuarial
employees, Claims Managers, Business Data Analysts, IT professionals working in
Data Analytics areas and officials (at various middle and higher levels) working
in Insurance technical departments of General
Insurance, Health Insurance, Re-Insurance organizations, Regulators, Insurance
Information Bureau, Broking companies, TPAs (Third Party Administrators) - will
get benefited from this Hands-on training. Working
employees from any other organization interested in learning ‘R for Claims
Analytics, Loss Modeling & Machine Learning’ also employees pursuing
actuarial studies, will also get benefited. Passion for analytics and patience
necessary. Background in R is not necessary.
Approach:
This hands-on training based on ‘R’ software and related
packages. It will have proper blend of conceptual technological inputs, hands-on
practices, Best Practices, Executive Briefings, Case-Studies and Experiences
Sharing.
Duration: 5 days
Dates: 07.08.2023
– 11.08.2023