Develop practical, industry-ready data skills
On this six-week course, you’ll gain strong foundational skills in data visualisation to ensure you can turn data into captivating visuals.
With expert guidance and practical exercises, you’ll explore web visualisation of arrays and JSON data using the latest tools and technologies.
Gain an introduction to bar charts and piecharts
You’ll start by understanding how to create impactful bar charts using HTML, CSS, JavaScript, and SVG, paving the way for advanced data interpretation. These foundational skills form the backbone of data visual communication.
Next, you’ll learn to design pie charts that distill complex data into intuitive, visual formats, making your information easily digestible and engaging. By mastering pie charts, you’ll open new avenues for communicating data-driven insights.
Unlock the power of WordClouds and TreeMaps
You’ll understand how to employ WordClouds and TreeMaps to highlight patterns and relationships within your datasets. You’ll be able to effectively visualise hierarchical data and text frequency with these dynamic tools.
Then you’ll learn to utilise SVG charts and the powerful D3.js library to craft sophisticated visual representations like force-directed graphs and treemaps. This skill set is essential for any aspiring data visualisation professional, ready to tackle complex datasets.
Finish with advanced data visualisation skills
Finally, you’ll learn to push beyond 2D visuals by venturing into 3D histograms and scene rendering with Three.js, enhancing your toolkit and enabling you to present data in captivating ways that engage your audience.
By the end of this course, you’ll have the knowledge and confidence to turn data into compelling visual stories and be empowered to rapidly disseminate information in today’s data-driven world.
This course is designed for anyone interested in data visualisation with knowledge of at least one programming language.
It will be particularly useful for undergraduate and graduate students in Computer Science, Data Science, Data Journalism, Computational Advertising, Digital Media Technology, Digital Media Art, or related professionals.
D3.js, JavaScript, SVG, CSS, HTML
