This module explores the principles of accurate data representation in visualizations, focusing on proportional ink usage, baseline integrity, and the appropriate use of chart types. Learners will gain the ability to create honest and effective data visuals while avoiding misleading graphical techniques.

This module explores the challenges of using 3D graphs in data visualization and emphasizes the benefits of 2D representations. Learners will understand why 3D visualizations are often misleading and how to create clearer, more accurate data displays using the grammar of graphics. The module also covers practical approaches to representing multi-variable data effectively.

This module equips learners with the skills to recognize and avoid misleading data visualizations. It covers how to choose between tables and graphs, identify deceptive scaling practices, and interpret complex visual structures like stacked area graphs and dual-axis charts. Learners will gain the ability to present data clearly and ethically.

This module explores essential principles for designing clear and accurate data visualizations, focusing on the effective use of graphs such as pies, bars, and lines. Learners will discover how to avoid common pitfalls in data representation and improve the readability and integrity of their visualizations.

This module focuses on the principles of data storytelling, emphasizing how to use visual and textual elements effectively to communicate insights. It covers techniques for aligning design choices with narrative goals and helps learners build compelling data narratives. By the end, students will understand how to structure and present data in a way that resonates with their audience.