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Introduction to Data Science in Insurance

Introduction to Data Science in Insurance (C1)

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.

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Introduction

If you’re looking for a high-level understanding of data science, this course is ideal for you. An individual subscription gives you 3 months’ online access to:

  • Course materials
  • Discussion forums to engage and collaborate with like-minded individuals
  • Option to ask tutors questions through forums and Q&A sessions
  • On-demand access

As Well As

Our Data Science Resource Library which features Actuartech and Industry specific curated additional content to assist you on your data science journey

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Learn in your own time

Pick from any of our introductory or advanced courses with bespoke insurance and actuarial specific case studies.

Practice

Our platform is easy to use and offers detailed guides, with course content and downloadable Notebooks offering code and explanations, enabling you to apply data science hands-on.

Apply

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

Overview

In this training module, we introduce the use of data science in insurance on a conceptual level. This course aims to introduce individuals to the advantages of using data science and to expose individuals to certain data science techniques as well as data science risk management.

We discuss the main aims of data analysis and why it is valuable through the use of examples and we consider the various sources and types of data. Thereafter, we address data science techniques as well as the ethical issues that surround them.

We conclude with examples of the application of data science in insurance.

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Introduction to Data Science in Insurance

Sign up for a free preview of this introductory course in R and python

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£100 once-off (3-month access)

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Course Structure

In Chapter 1, we introduce data science by looking at the origins and definitions of data science.

Chapter 2 sees us exploring data science within the insurance context.

In Chapter 3 we discuss the data science pipeline.

In Chapter 4 and Chapter 5 we evaluate the various different sources and types of data.

In Chapter 6 we look at data science techniques whilst focussing on modelling.

Chapter 7 sees us discussing specific data science considerations, including ethics and explainability.

In Chapter 8 we address specific use cases within an actuarial context.

Chapter 9 concludes the course and The Appendix offers students further resources

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Who's this course suitable for?

  • Individuals and teams looking for a high-level understanding of data science.
  • Individuals and teams looking to find out how data science can improve their operations.
  • Individuals and teams working alongside data scientists.
  • Individuals and teams wanting to find out how data science can be applied in an insurance context.

Why is this topic important?

  • Data science isincreasingly being used for insurance applications.
  • An understanding of data science can improve collaboration amongst data scientists and actuaries.
  • Understanding data science can lead to an increased awareness of data management and expose new ways of using data.

The course was just what I needed to rocket launch my learning of Python up the learning curve.

The course was brilliant value for money. You and your colleagues know a lot about Python, and are very patient in explaining it to newcomers like me.

Thank you for an incredibly insightful but so, so practical (think often the missing ingredient) presentation of this topic, that we are all grabbling with. Your experience and expertise shone through and certainly a testament to the stellar work that you guys are doing in the industry.

I’m in the process of reviving my actuarial career. The data science course has given me lots of new ideas and things to try. You have inspired me. Thank you so much for putting it together. I think it’s amazing!

I liked the fact that the course was a mixture of coding itself, and wider issues such as governance / ethics / good practice.

Get started

Introduction to Data Science in Insurance

Sign up for a free preview of this introductory course in R and python

Free Preview

Preview

Enroll Today

£100 once-off (3-month access)

Enroll Today

Interested in Corporate Training?

We have tailored packages available to ensure that corporate teams have the option to attend structured live lessons by our tutors, and the option to request a practical assignment and bespoke feedback. Invoicing option available.

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