Courses

IFRS 17 Data Management Example using SQL

Explore advanced queries in SQL centred around data management techniques showcased through an indicative IFRS 17 example.

Life Insurance

Non-life Insurance

General

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IFRS 17

A Practical Guide to KPIs under IFRS 17

Explore how Key Performance Indicators (KPIs) are impacted by IFRS 17, how to transition to new KPIs, and how to calculate KPIs under IFRS 17.

Life Insurance

Non-life Insurance

General

true

DevOps

Fundamentals of DevOps for Actuarial Data Science

Learn the fundamentals of DevOps to develop system-based solutions and understand the current techniques in designing, developing, testing, iterating, deploying, and maintaining system-based solutions.

Life Insurance

Non-life Insurance

General

true

SQL

Foundations in SQL

Learn the fundamentals of SQL through interactive Jupyter Notebooks, discover basic and complex SQL functionalities, data manipulation, and overall data management tools & techniques.

Life Insurance

Non-life Insurance

General

false

Other Practical Applications of Machine Learning in Non-Life Insurance

Explore applications of advanced methods in non-life pricing in R, such as unsupervised machine learning algorithms and profitability and competition analysis through Jupyter Notebooks.

Non-life Insurance

false

Advanced Methods of Non-Life Pricing in R

Discover how to use advanced techniques for non-life pricing such as regression models and calibrating machine learning models in R through interactive Jupyter Notebooks.

Non-life Insurance

false

Visualisations Conceptual Introduction

We introduce the benefits of data visualisation and types of visualisations and discuss the considerations and challenges linked to visualisations, before taking a brief look at some tools, platforms, and real-life examples.

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Introduction to Data Science in Insurance

In this introduction of data science in insurance, we discuss data analysis and data sources and provide an overview of some data science techniques, before touching on the ethical considerations in data science and giving examples of the application of data science in insurance.

General

Non-life Insurance

Life Insurance

false

Visualisations Deep Dive Python

Visualisations can be very useful at deriving insights from data. By using the open-source programming language Python, this course will illustrate how visualisations can be optimised in the data science pipeline.

General

Life Insurance

Non-life Insurance

false

Lapse Experience Analysis Python

Discover how to use advanced techniques in Python, including fitting regression and classification machine learning models, data cleaning, feature engineering, preliminary visualisations, and reporting to investigate lapse rates in this end to end walkthrough.

Life Insurance

false

Investigating Climate Risk in R

In this case study, we create a climate risk index to investigate climate change using time series techniques.

General

Non-life Insurance

false

IFRS 17

Introduction to IFRS 17: Hands On Training

Discover how to interpret the principal requirements of IFRS 17 through learning the basics of IFRS 17, including measurement models, terminology, and hands-on calculations.

General

Life Insurance

Non-life Insurance

true

Motor Pricing and Reserving in Python

Explore utilising advanced data science techniques in the context of pricing and reserving, including traditional actuarial methods, and data cleaning, in this end to end walkthrough of predicting the frequency of claims for non-life insurance contracts to assess risk.

Non-life Insurance

false

Mortality Forecasting in Python

Discover how to use advanced techniques in Python, including time series analysis and the Lee-Carter model, data cleaning, and visualisations to forecast mortality rates in this end to end walkthrough of mortality modelling.

Life Insurance

false

Foundations in Python

Learn the fundamentals of Python through interactive Jupyter Notebooks, discover data management tools & techniques, statistical packages, and explore regression analysis, building your first model, validation and visualisation.

General

Life Insurance

Non-life Insurance

false

Basics of Non-life pricing in R

Explore building a technical tariff through GLMs in R to learn the basics of non-life pricing using data science techniques through interactive Jupyter Notebooks.

Non-life Insurance

false

Visualisations Deep Dive in R

Discover how to use visualisation techniques in R to present key messages from complex data with hands-on examples, including building a dashboard to aid in identifying the impact, patterns, and trends present in a complex dataset.

General

Life Insurance

Non-life Insurance

false

Mortality Experience Analysis in R

Discover how to use advanced techniques in R, including fitting various machine learning models, data cleaning, and visualisations to understand the drivers of mortality in this end to end walkthrough of mortality modelling.

Life Insurance

false

Lapse Experience Analysis in R

Discover how to use advanced techniques in R, including fitting regression and classification machine learning models, data cleaning, feature engineering, preliminary visualisations, and reporting to investigate lapse rates in this end to end walkthrough.

Life Insurance

false

Practical Data Science Tasters in R & Python

This taster to R & Python for beginners uses interactive Jupyter Notebooks and webinars to introduce users to R & Python with the use of a practical example.

General

Life Insurance

Non-life Insurance

false