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Data Visualisation

Starts 7th November

Course Details

Tell a story by visualising it

Be able to construct compelling charts and visualisations to communicate data-driven insights to technical and non-technical audiences. Learn how to create powerful data visualisations with Python, the fastest-growing programming language in the world. Upskill and equip yourself with the necessary tools for creating memorable static and interactive infographics. Find the relevant data to confidently design, visualise and refine your work.

To join this course you will need:

  • Experience working in Python and Pandas.
  • A personal device to complete pre-work and attend the course.

What will I learn?

Upon completion of this course, you will be equipped to: 

  • Efficiently prepare and analyse data
  • Visualise and present actionable data-driven insights
  • Use industry-standard tools
  • Use data visualisation to summarise, present and make recommendations from the results of data analysis

Course breakdown

Week 1 - Orientation 

Week 2 - Data Visualisation

Week 3 - Introduction to Bokeh

Week 4 - Interactive and Panel Dashboards

Week 5 - Manage the finances of a unit

Week 6 - Assignment Module

Is this right for me?

This 10-week course is ideal and practical for anyone who is looking to vastly improve their knowledge of infographics, telling stories using complex information with simplicity. 

This course is ideal for:

  • Teams producing infographics and interactives for public and private uses
  • Employees looking to build confidence and technical skills to work with data effectively
  • Employees that want to progress into more technical, data-driven roles

As part of this course you will get:

  • 4 half-day live instructor-led interactive workshop with 1:1 in-class tutor support
  • 6 weeks access to EDUKATE.ai with workplace simulated assignments and immediate personalised feedback.
  • Certification pathway available: this course is part of the Data Analysis with Python 
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Course details

Data Visualisation

Registrations Close:

4 November 2022

Start Date:

7 November 2022


10 weeks


8 - 8 hours