Computer and Data Science

Insurance Catalogue

Reacfin Academy trains your staff on:
  • Digitalisation in the insurance industry
  • Data science techniques applied to insurance use cases
  • Use of (statistical) software to analyse your data
  • Data management practices

Recent training modules:
  • Big data and data science in Insurance
  • Datawarehouses and database structures for Financial Market activities at Banks, Asset Managers and Insurance companies
  • Market practices for Database Migrations at Financial Institutions
  • Machine learning and data science for actuaries
  • Machine Learning techniques applied to credit risk modelling for corporate and retail loan books
  • Training on (statistical) software used in insurance (R, Python, VBA, SAS, Prophet, Shiny,…)

Introduction to R

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Introduction to Python

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Big data and data science in Insurance

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Datawarehouses and Database structures

for Financial Market activities at Banks, Asset Managers and Insurance companies

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Market practices for Database Migrations

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Machine Learning and Data Science for actuaries

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Machine Learning techniques applied to credit risk modelling

for corporate and retail loan books

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Training on (statistical) software

used in insurance (R, Python, VBA, SAS, Prophet, Shiny,…)

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Example

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Example

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General Terms & Conditions analysis using text mining

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NL insurance pricing using Machine Learning

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Individual claims reserving using Machine Learning

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Claims analysis and performance measure

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Life insurance portfolio simplification in Solvency II

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Cyber risk study using APIs, text mining and NLP

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