This module guides learners through a structured approach to data visualization design, focusing on decision-making, data analysis, and applying visual principles to create clear and impactful visuals. It helps learners develop a systematic way to transform raw data into meaningful insights.

This module focuses on the foundational steps of data visualization projects, including defining the project's context, purpose, and vision. Learners will gain the skills to formulate a clear brief that guides effective design decisions and aligns with project goals.

This module provides a step-by-step guide to working with data, covering how to acquire, examine, transform, and explore data for effective visualization and decision-making. Learners will gain practical skills in managing data throughout the design process and understand the importance of data preparation in creating meaningful insights.

This module explores the concept of editorial thinking in visualization, helping learners understand how to make informed decisions about content selection and how these choices impact design and communication. It covers the relationship between curiosity, data, and visual storytelling, and guides learners in defining key editorial perspectives for their work.

This module explores the principles of visual encoding and the selection of appropriate chart types for effective data representation. Learners will gain an understanding of how to evaluate design factors that impact data visualization and apply best practices in creating clear and meaningful visualizations.

This module explores the role of interactivity in data visualization, covering techniques like filtering, user controls, and the factors that influence the design of interactive features. Learners will gain an understanding of how to enhance user engagement and data exploration through well-considered interactive elements.

This module explores the principles and practical applications of annotation in data visualization. It covers how to evaluate audience needs, identify key annotated features, and make informed decisions to improve clarity and user understanding. Learners will gain the skills to effectively use annotations in visual designs.

This module explores the science and application of colour in data visualization. Learners will understand how to use colour models, assess legibility, and make informed design decisions to improve clarity and impact in visual representations.

This module explores the principles of visual composition, focusing on how to arrange elements effectively within a design space. Learners will gain insights into layout decisions, spatial relationships, and the impact of design choices on clarity and visual hierarchy. The content provides practical strategies for creating cohesive and user-friendly design solutions.