Visualisations Deep Dive Python (P4)

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.

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Introduction

If you’re looking to learn how to create advanced visualisations in Python, this course is ideal for you. An individual subscription gives you 3 months’ online access to:

  • Course materials
  • A personal coding environment through Jupyter Notebooks
  • Discussion forums to engage and collaborate with like-minded individuals
  • Instructional videos
  • Option to ask tutors questions through forums and Q&A sessions
  • Hands-on practical examples linked to actuarial work
  • 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.

You can also request to access to a coding project to practice the skills you learn in this course.

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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

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. The course aims to build on the initial visualisation techniques learned in our foundations in Python course by way of a case study. We take a hands-on approach to this course and encourage students to explore further visualisations beyond those presented in the examples through their own Jupyter notebook instance.

The course discusses two examples of case studies in order to illustrate how, with the use of visualisation techniques in Python, we can better interpret the data we are working with. The aim of the first example is to show how visualisation techniques can aid in preliminary data analysis and to develop an understanding of how to best deal with partially complete data sources. In the second example, we address visualisation as it can be used for reporting. We refer to techniques for understanding time series data by visually comparing data overtime across various regions.

In both cases, we set out a scenario in which we analyse the available data set inorder to derive insight, understand, and draw conclusions using visualisation techniques in Python.

As a final visualisation technique, the course covers interactive dashboarding through the use of Dash. We provide an end-to-end tutorial for building a deployable COVID-19 dashboard.

If you're not already familiar with Python, we recommend that you start with our Foundations in Python course.

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Visualisations Deep Dive Python

Sign up for a free preview of this advanced python case study

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£150 Once-off (3-month access)

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Course Structure

Chapter 1 introduces the data science pipeline, the datasets used, high level principles and considerations, and techniques for visualising data in Python.

Chapter 2 sees us performing a preliminary analysis and visually comparing trends and various factors within the dataset.

Chapter 3 covers techniques for visualising time series data with a focus on identifying trends and adding multiple layers to a plot.

Chapter 4 discusses creating a simple, interactive dashboard by offering students a tutorial which they can use to create their own dashboard.

The Appendix and further resources section offers students additional sources that may assist in their visualisation’s journey.

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Who's this course suitable for?

  • Individuals with a good grasp of the fundamentals of Python.
  • Individuals interested in the visualitions techniques available in Python, particularly in how it can aid in the data processing stage through preliminary visualstions.
  • Individuals interested in learning more about Dash or interested in creating an interactive way of communicating data.

Why is this topic important?

  • Visualisations can be very useful at deriving insights from data, but often goes over looked in the data exploratory stage.
  • It is challenging to report on large amounts of data, but visualisations can assist in this regard.
  • Dashboarding provides an interactive way of communicating data and is useful in various actuarial contexts.

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 Deep Dive Python

Sign up for a free preview of this advanced python case study

Free Preview

Preview

£150 Once-off (3-month access)

Enroll Today

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