Storytelling with Data

The course begins with a close-up look at raw data and an overview of the various types of data/information that exist in the real world. We then discuss how different types of data are better summarized and visualized with different techniques. Building on this foundation, students explore narrative construction techniques, discovering how to structure information flow and emphasize key points to create cohesive stories from the raw data. Throughout the course, students develop proficiency in both Excel and Tableau Public, a free data visualization tool and community of data enthusiasts. These tools enable students to create visually appealing and interactive presentations. They also learn how to tailor their message to different audiences through audience analysis, considering factors such as expertise level and specific interests. Ethical considerations in data storytelling are discussed, including the importance of accuracy, transparency, and responsible data use to avoid misleading interpretations. This also enable students to detect when others may be using visualizations in a misleading way. Practical application of learned concepts are facilitated through hands-on projects, where students work with real-world datasets to create data-driven narratives addressing relevant issues or topics. By the end of the course, students have gained the skills and confidence to effectively communicate complex data concepts through compelling storytelling across various mediums, including presentations, reports, infographics, and interactive online platforms. They also develop a critical mindset, enabling them to evaluate data sources, identify biases, and continuously improve their data storytelling capabilities in an evolving landscape.