Actuartech Training
Academy

We provide you with the tools and training material to embrace data science. We enable the actuary to continue to evaluate key sources of data and to incorporate data science that uses state of the art machine- learning and data technologies together with the actuary’s business insights.

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The tools and training material to embrace data science.

Learn in your own time

Pick from any of our introductory courses to R, Python and SQL 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.

Apply

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.

Cutting-edge technology courses

The combination of data science, technology and professional business skills is already improving the impact and relevance of analytics, helping provide new solutions and empowering leadership teams to make better, data-driven decisions. Collaboration between data scientists and other professionals within organisations will continue to be instrumental in making this happen. To reach the full potential of Data Science, we must include emerging technological advances within our toolkit. That is our mission, by providing the tools and training material to empowerActuaries to embrace data science.

This is part of an up to date toolbox for actuaries to execute large amounts of statistical calculations and see the results with the latest data visualisation techniques.

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.

Register your interest

Where do you start?

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

Practical Data Science

For those looking for a taster into Data Science and basic foundations training on the language of R this course is for you

Practical Data Science

For those confident in R looking to learn how to use R in a practical insurance context, with the use of case studies this course is for you

Practical Data Science

For those looking to learn the foundations of R as well as the introduction of applying these within an insurance context by way of practical insurance application examples this course is for you:

The Theory of Data Science

For those looking for an understanding of the core concepts and principles in data science from regression analysis, data management through to predictive analytics and machine learning.

DATA SCIENCE
COURSES

R.1

CODING FOUNDATIONS

R.2

PRACTICAL CASE STUDIES

R.1 + R.2

CODING FOUNDATIONS PLUS PRACTICAL CASE STUDIES

Application Agnostic

DATA SCIENCE PRINCIPLES
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

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Contact Us

CODING FOUNDATIONS

PRACTICAL CASE STUDIES

CODING FOUNDATIONS PLUS PRACTICAL CASE STUDIES
DATA SCIENCE PRINCIPLES
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

Actuartech Training Academy Overview

Download our brochure to find our more information

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On-demand

Actuartech also have several webinars aimed at enhancing your learning on the topic of Data Science now available on-demand:

On Demand

Introduction to Machine Learning to understand Motor Insurance Claims

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On Demand

Data Science: Examples of how to get started and being part of a coding competition

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On Demand

Investigating Applications of Data Science in UK and non-UK Actuarial Teams

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On Demand

Practical Data Science: how to get started in Python by Actuartech

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On Demand

Practical Data Science: how to get started in R by Actuartech

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On Demand

Practical Application of AI in Insurance: Two Modern Use Cases | Innovative Insurance Technologies

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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
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
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
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
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!
Webinar
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
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

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,

Learn more
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