The course content is divided into (i) Data Visualization principles, (ii) "Large Dataset" Handling, and (iii) practical competencies for data wrangling and visualisation.

1. Introduction to Data Visualization
2. Selecting the Right Plots for Data
3. Understanding Coordinate Systems
4. Effective Use of Colour Scales
5. Principles of Figure Design & Telling a Story with Data Visualization
6. Practical Application of Data Visualization Tools and Software
7. Big Data challenges and solutions

Note 1: This course adopts a software-agnostic approach. In practical exercises, data wrangling will be performed using Microsoft Excel, a widely accessible and familiar tool for data preparation. For data visualization, we will use a variety of software that has been carefully chosen for its user-friendliness, ensuring that no prerequisite skills are necessary.

Note 2: In this course, 'Big Data' refers to datasets that are too large to be processed manually using basic techniques such as dragging, dropping, or copying and pasting elements or formulas. This includes datasets that can still be handled by consumer hardware but require specialized tools and methods for efficient management and analysis.

By the end of this course, participants will be able to:

• Select appropriate visualizations for different types of data.
• Apply effective coordinate systems and colour scales.
• Create visually appealing and informative figures.
• Communicate their research findings effectively through data visualization.
• Handle, clean, and transform large datasets for analysis.
• Use various data visualization tools and software.

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It is now a requirement that you complete the three short questions in the survey you receive after attending the course. Once you have submitted the survey, you will be sent an email with a link to your attendance certificate. This is to ensure we receive the feedback we need to evaluate and improve our courses. Survey results are downloaded and stored anonymously.

It was incredibly useful! I wish I had been able to take this course in my first year. Also, the combination of the theory/lecture and the practicals made this course not only interesting, but very helpful! Would 100% recommend.

I found the course to be very insightful, I liked that the practice sessions introduced you to many different tools.

Overall fantastic course. Very useful.