PUNE
P842
- R FOR DATA ANALYTICS AND MACHINE LEARNING (NON-LIFE)
Background:
Insurance is primarily data-driven forward looking business. Data
Analytics plays a very important role in every facet of such business. The
availability of free and open-source software tools 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 Insurance Analytics,
Financial Computing, loss modeling and Machine Learning, by using R and related
packages.
Contents:
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R for Data Analytics: Descriptive, Diagnostic, Predictive,
Prescriptive, Cognitive & Decision Analytics
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Loss Frequency Distributions & Severity Modeling
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Claims Reserving
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R for Data Mining & Machine Learning:
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EDA, Regression Modeling, Dimension Reduction using PCA
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Prediction Performance Evaluation
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Classification: CART, KNN, Naive Bayes Classifier, Logistic
Regression, Neural Networks, Discriminant Analysis
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Ensemble and Uplift Modeling
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Association Rules and Collaborative Filtering
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Cluster Analysis
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Hands-on Exercises & Case-Studies in different business areas
Participants’ Profile:
This Hands-On training is open to entire industry 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 Life Insurance, GI, 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 Insurance Data Analytics & 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 is based on ‘R’ software and related
packages. It has a proper blend of conceptual technological inputs, hands-on
practices, Best Practices, Executive Briefings, Case-Studies and Experiences
Sharing.
Duration: 3 days
Dates:
07.08.2024 - 09.08.2024