Data visualisation and location intelligence for public health; open source approach
About this training opportunity
This 1-day course has been developed in response to an increasing need by health professionals to incorporate data visualisation and location intelligence in their day-to-day decision-making.
Data visualisation allows decision-makers to easily explore complex data, uncover deep insights and take effective actions to deliver better health outcomes.
Making use of increasingly rich publicly available data and open source tools, this course will enable beginners to take their skills to the next level, gaining confidence in data visualisation principles and practices that you can use to continue building your capability and strategies.
Part 1: Friday 27th November
Time: 9:00 am – 1:00 pm
Part 2: Monday 30th November
Time: 9:00 am – 1:00 pm
Standard price: $700.00
DHCRC special price: $000.00
How to participate
To register your interest, take 5 minutes to complete our Expression of Interest form this will help us to ensure that you are a good fit for the training and will enjoy the best possible experience.
The Digital Health CRC welcomes EOI’s from people in Australia who are health sector workers or university students.
EOI closing date
1st November 2020
Who is this course for?
This course is for you, if you have minimal experience with data visualisation but can see its potential to help you communicate the meaning of data in a more powerful way.
You do not need to have experience in data visualisation platforms such as Power-Bi or Tableau but may have used Excel to create graphs and charts.
The course is designed to be useful to people from diverse backgrounds for examples:
- Government employees in the Health sector
- Academics/students who are addressing health issues
- NGOs in the Health sector
- People in public health and epidemiology
Outline of Topics
- Develop skills and applications in relevant health data visualisation techniques
- Develop a theoretical and practical understanding of visualising health data
- Learn how to develop databases of the locations of health events/incidents (COVID19)
- Critically assess the process and role of visualisation techniques, dashboards and storytelling
- Demonstrate a theoretical and practical knowledge of storytelling and visualisation applications and their capabilities with health data
- Prepare health data for web sharing
- Create online interactive and synced visualisations representing health data
- Develop dashboards using open source tools
- Create intelligent map stories
To ensure everyone’s safety, we are currently delivering our courses via remote access to respect social distancing measures. We look forward to being able to offer courses face-to-face once it is safe to do so.
We’ve formatted our online courses to replicate a classroom. We use video-conferencing for our presentation and linked break-out rooms for project work. You’ll be able to interact with our instructors and ask them questions through this and via an audio and text chat app, so that you can do the same things you would in face-to-face, such as ask questions and get to know your fellow students.
To participate in the course, you will need:
- A reliable computer with a webcam, microphone and headphone/speakers
- Reliable internet access
- Administration rights required to install software
- Microphone and camera so that you can participate in the video conference
More information about systems requirements will be sent out closer to the course.
Throughout the course, you will use publicly available data and open-source platforms such as kepler.gl, Chart Studio, RAW Graphs and Plotly/DataPlotly
Your Educator: Dr Ori Gudes
Dr Gudes is an Adjunct Senior Lecturer at the of School of Public Health and Community Medicine, UNSW. He is a lecturer and researcher with expertise in Geographic Information Systems (GIS), Business intelligence (BI), spatial analysis and spatial science in the intersection of Public Health.
Ori is experienced in lecturing, training and working with academia, government and industry partners.
Expressions of interest close Sunday 1st November.