Courses in R

R is an open-source programming language with robust statistical capabilities. It has a large ecosystem of libraries through the Comprehensive R Archive Network (CRAN) that makes it well suited for data science and machine learning tasks. For virtually any data science or statistical task, there is an R package that can be loaded easily and used seamlessly with clear documentation.

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The tools and training material to embrace R in data science.

Learn in your own time

Pick from any of our introductory courses to R as well as advanced course with bespoke insurance and actuarial specific case study

Practice

Our platform is easy to use and embeds the coding environment and learning material in one place to enable you to apply data science hands-on.

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We provide case studies and Assignments relevant to actuarial work; and based on relevant datasets provided. You have the option to interact and network with your peers.

To learn more about some of R's applications, download our PDF overview

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Courses in R

Foundations in R for Actuaries (R1)

Introduction of the data science pipeline. Fundamentals of R . Building your first data science model. Data management tools within R Regression analysis and statistical packages. Powerful visualisation.£150 once off fee: 3 months' access.

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Practical Data Science Tasters in R & Python (RiPi)

This is a taster to R & Python for beginners. Through a combination of webinars & interactive notebooks, users are able to get a taste of R and Python with the use of a practical example. £40 once off fee: 3 months' access.

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Lapse Experience Analysis in R (R2)

Access to an end-to-end walk through investigating lapse rates in a life insurance context incl cleaning the data, preliminary visualisations, feature engineering, fitting models and reporting. £150 once off fee: 3 months' access.

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Mortality Experience Analysis in R (R3)

An end-to-end walkthrough of mortality modelling using machine learning techniques covering cleaning the data, creating visualisations to understand drivers of mortality. PREREQUISITE: Foundations in R. £150 once off fee: 3 months' access

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Visualisations Deep Dive in R (R4)

Apply visualisation techniques with the use of R and some of its main visualisation packages to present frequency & severity for natural disasters and COVID experience, to interpret the impact, patterns and trends. £150 once off fee: 3 months' access

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Basics of Non-life pricing in R (R5)

Learn the Basics of non-Life pricing: building a technical tariff with GLM in R through video lessons with slides, interactive examples, hands-on case studies and a live lesson. £300 once off fee: 3 months' access or pay monthly.

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Join our community

By joining our community, you will have the opportunity to learn best practice data science and technology techniques, collaborate with fellow actuaries and data scientists and be empowered to derive optimal insights from data.

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Where do you start?

Select from one of our three training paths, or contact us to provide you with guidance on where to start

Application specific

The basics of data science

Introduction to different Data Science Applications

The Operating model for Data Science (tools, data, processes, people & systems)

General introduction about the specific Data Science Application

Specific Usage Guidelines

Practical tips on making the most of the specific Data Science Application

Best Practice Installation Guidelines

LEARN THE BASICS OF CODING BY REFERENCE TO THE DATA SCIENCE PIPELINE

Problem Specification

Data Sourcing

Data Management

Model Building using Machine Learning & Predictive Analytics where relevant

Data Visualisation

Governance

Communication & Reporting

Deployment

PRACTICAL CASE STUDIES BY REFERENCE TO THE DATA SCIENCE PIPELINE

Understanding lapse experience for a life insurer through the use of actuarial data science

Understanding of mortality experience for a life insurer through the use of actuarial data science

Visualisation of the impact of historic global natural catastrophic events

Interact with other professionals using content Specific Forums

Access to a rich library of resources and further training material, specifically focussed at the actuary.

Access to our team of experts for technical data science tips and techniques

PRACTICAL ASSIGNMENT

Certificate upon Completion

Application specific

The basics of data science

Introduction to different Data Science Applications

The Operating model for Data Science (tools, data, processes, people & systems)

General introduction about the specific Data Science Application

Specific Usage Guidelines

Practical tips on making the most of the specific Data Science Application

Best Practice Installation Guidelines

LEARN THE BASICS OF CODING BY REFERENCE TO THE DATA SCIENCE PIPELINE

Problem Specification

Data Sourcing

Data Management

Model Building using Machine Learning & Predictive Analytics where relevant

Data Visualisation

Governance

Communication & Reporting

Deployment

PRACTICAL CASE STUDIES BY REFERENCE TO THE DATA SCIENCE PIPELINE

Understanding lapse experience for a life insurer through the use of actuarial data science

Understanding of mortality experience for a life insurer through the use of actuarial data science

Visualisation of the impact of historic global natural catastrophic events

Interact with other professionals using content Specific Forums

Access to a rich library of resources and further training material, specifically focussed at the actuary.

Access to our team of experts for technical data science tips and techniques

PRACTICAL ASSIGNMENT

ACCREDITATION

Application specific

The basics of data science

Introduction to different Data Science Applications

The Operating model for Data Science (tools, data, processes, people & systems)

General introduction about the specific Data Science Application

Specific Usage Guidelines

Practical tips on making the most of the specific Data Science Application

Best Practice Installation Guidelines

LEARN THE BASICS OF CODING BY REFERENCE TO THE DATA SCIENCE PIPELINE

Problem Specification

Data Sourcing

Data Management

Model Building using Machine Learning & Predictive Analytics where relevant

Data Visualisation

Governance

Communication & Reporting

Deployment

PRACTICAL CASE STUDIES BY REFERENCE TO THE DATA SCIENCE PIPELINE

Understanding lapse experience for a life insurer through the use of actuarial data science

Understanding of mortality experience for a life insurer through the use of actuarial data science

Visualisation of the impact of historic global natural catastrophic events

Interact with other professionals using content Specific Forums

Access to a rich library of resources and further training material, specifically focussed at the actuary.

Access to our team of experts for technical data science tips and techniques

PRACTICAL ASSIGNMENT

ACCREDITATION

Application specific

The basics of data science

Introduction to different Data Science Applications

The Operating model for Data Science (tools, data, processes, people & systems)

General introduction about the specific Data Science Application

Specific Usage Guidelines

Practical tips on making the most of the specific Data Science Application

Best Practice Installation Guidelines

LEARN THE BASICS OF CODING BY REFERENCE TO THE DATA SCIENCE PIPELINE

Problem Specification

Data Sourcing

Data Management

Model Building using Machine Learning & Predictive Analytics where relevant

Data Visualisation

Governance

Communication & Reporting

Deployment

PRACTICAL CASE STUDIES BY REFERENCE TO THE DATA SCIENCE PIPELINE

Understanding lapse experience for a life insurer through the use of actuarial data science

Understanding of mortality experience for a life insurer through the use of actuarial data science

Visualisation of the impact of historic global natural catastrophic events

Interact with other professionals using content Specific Forums

Access to a rich library of resources and further training material, specifically focussed at the actuary.

Access to our team of experts for technical data science tips and techniques

PRACTICAL ASSIGNMENT

ACCREDITATION

Application specific

The basics of data science

Introduction to different Data Science Applications

The Operating model for Data Science (tools, data, processes, people & systems)

General introduction about the specific Data Science Application

Specific Usage Guidelines

Practical tips on making the most of the specific Data Science Application

Best Practice Installation Guidelines

LEARN THE BASICS OF CODING BY REFERENCE TO THE DATA SCIENCE PIPELINE

Problem Specification

Data Sourcing

Data Management

Model Building using Machine Learning & Predictive Analytics where relevant

Data Visualisation

Governance

Communication & Reporting

Deployment

PRACTICAL CASE STUDIES BY REFERENCE TO THE DATA SCIENCE PIPELINE

Understanding lapse experience for a life insurer through the use of actuarial data science

Understanding of mortality experience for a life insurer through the use of actuarial data science

Visualisation of the impact of historic global natural catastrophic events

Interact with other professionals using content Specific Forums

Access to a rich library of resources and further training material, specifically focussed at the actuary.

Access to our team of experts for technical data science tips and techniques

PRACTICAL ASSIGNMENT

ACCREDITATION

Courses Overview

Select from one of our training paths, or contact us to provide you with guidance on where to start

Case studies and Assignments relevant to actuarial work, based on relevant datasets provided

Training Platform designed by actuaries for actuaries

Learn in your own time

Web based interface supporting multiple languages-no need to install software

Track your progress

Option to interact and network with peers

Introduction of the data science pipeline

Learning the fundamentals of programming in R and building your first model

  • introduction to the data science application
  • data management tools
  • Regression analysis and statistical packages
  • Supervised and unsupervised machine learning
  • Powerful visualisation graphs and plots
  • Integrating the application into your existing data framework

Powerful coding platform with integrated actuarial specific examples within R, Python or SQL.

Access to a rich library of resources and further training material, specifically focussed at the actuary.

Practical actuarial application examples within R, Python and SQL covering the core components of the data science pipeline including

  • Data Management in R, Python and SQL
  • Predictive Analytics and Machine Learning
  • Actuarial Visualisation

Training on practical considerations of data science including Data Science Risk, Risk Management, Validation and Interpretability

Access to our team of experts for technical support

Do it yourself - learn on the go, practically and in your own time

Assignments and Certification option available

Interact with other professionals using the Actuartech Foundation in R Forum

Enrol Today

Short note to say really enjoyed today’s webinar. It had a very clear message. […] fully in agreement with the comments that it is imperative we maintain our professional and ethical stance at all times if we want to continue to be trusted and relied on.

Webinars

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Heading

Short note to say really enjoyed today’s webinar. It had a very clear message. […] fully in agreement with the comments that it is imperative we maintain our professional and ethical stance at all times if we want to continue to be trusted and relied on.

Webinars

I just wanted to say what an interesting presentation that was. Thank you so much for taking the time to put this on for us, it is very much appreciated by all – especially the flexibility around hosting as a webinar instead of the original [in-person] format. It worked very well indeed!

Webinars

I think I’m [one of the first actuaries in my area] who are pointing towards Data Science, creating the new [role] of Actuarial data Scientist. For this reason i [sic] decided to follow a post graduate master in Business Intelligence and Big data analytics. I'm actively following your company and i [sic] think it is one of the best Actuarial consulting company [sic] who [sic] is pointing towards data Science!

Webinars

I love your videos - being free and accessible really helped me. The Q&A session was fantastic! It always comes down to execution and I feel this should always accompany your presentations - answering the question of how will your participants use what you give them. Keep up the great work!

Round Table

Thank you for having me along. I really found it the most motivating conversation I’ve had in a while, and made me think about what I’m trying to achieve within this area. We all need evenings like that to get some perspective on what we *think* is going on and what actually is. It was a very good evening.

Round Table

It was a really good introduction to Data Science and afterwards I felt that I now have a platform that I could use to further my understanding in this area.

Webinars

I am really happy to have been part of the talk. It was very insightful and please keep doing more of this. I am a data science student currently but I have an actuarial background. I worked in life insurance for about 5 months before resigning to do my masters in Data science so that I blend the actuarial world and Data science together. The talk gave me perspective. Even suggested some potential topics for my Thesis.

Webinars

Advanced Data Science Training

 For those more experienced in Data Science looking to develop their learning on topics such as, risk, ethics, conduct and fairness,

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