Visualisations Conceptual Introduction (C4)

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

If you’re looking for a high-level understanding of visualisations, 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 questionsthrough 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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Pick from any of our introductory or advanced courses with bespoke insurance and actuarial specific case studies.

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.

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 start by looking at the benefits of data visualisation as well as defining what it actually is.

We then look at various types of visualisations, including bar graphs, line graphs, and pie charts.

Next, we look at the main issues that one needs to be aware of when deciding which visualisation technique to use and how one should always consider their audience.

We end off with the main tools and platforms for data visualisation and take a brief look into some real-life examples.

Please note that this module is conceptual and principle-based. For practical coding experience on visualisation techniques, please refer to one of our visualisation courses in R or Python.

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Visualisations Conceptual Introduction

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

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Course Structure

In Chapter 1, we introduce visualisations by looking at an introductory example and the benefits of visualisations.

Chapter 2 sees us exploring types of visualisations.

In Chapter 3 and Chapter 4 we consider the audience and potential issues.

In Chapter 5 we discuss modern application tools for creating visuals.

Chapter 6 presents visualisation case studies, including COVID-19 examples.

Chapter 7 concludes the course with a summary 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 visualisations and visualisation tools and techniques.
  • Individuals and teams wanting to understand the challenges and considerations linked to visualisations.
  • Individuals and teams looking to understand how visualisations can be applied to their work.

Why is this topic important?

Data visualisation helps us, among others to:

  • Understand large amounts of data and different types of data (e.g. geodata, textual data, time series, etc. not just numerical)
  • See trends and patterns
  • Compare different sets of data
  • Explore relationships between variables
  • Efficiently communicate results

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

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
Get started

Visualisations Conceptual Introduction

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

Free Preview

Preview

£50 once-off (3-month access)

Enroll Today

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