Beginner Tableau

Why should you attend?

Data visualization is a critical skill in today's data-driven world, and Tableau stands out as one of the most powerful tools in this domain. This course begins by exploring the concept of data visualization, discussing its significance and contrasting poor versus effective visualizations. Students will learn the principles of visualization including Tufte’s Graphical Integrity Rule and Principles for Analytical Design, setting a strong foundation for creating meaningful visual representations of data. As the course progresses, participants will delve into Tableau's diverse functionalities, understanding its architecture, various products, and features such as pivot tables and data interpretation techniques. The course continues with an in-depth look at Tableau’s user interfaces, focusing on data types and visual cues essential for crafting intuitive visuals. Building upon this knowledge, students will experiment with basic to intermediate chart types like bar charts, pie charts, heat maps, and time series. The curriculum also covers advanced charting techniques including bullet charts, scatter plots, and forecasting methods to enable predictive analysis. Participants will gain hands-on experience in map creation using Tableau’s mapping capabilities and learn to enhance their visuals with background images and responsive tooltips. Lastly, the course provides insights into data connectivity with an emphasis on calculated fields and integrating Tableau with external platforms like R for extended analytical capabilities.