Overview

In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau Public, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

Syllabus

Getting Started and Why Data Visualization Matters

Why does data visualization matter—and how do you know if it’s done well? In this module, you’ll explore the foundations of effective visual communication. Through video lessons, expert insights, and hands-on exploration of public Tableau visualizations, you’ll learn how data stories can bring clarity, influence decision-making, and inspire action. You’ll also uncover the risks of poor design and discover key principles—like knowing your audience, keeping it simple, and maintaining data honesty—that set great visualizations apart. This is where your journey in visual analytics begins.

Getting to Know Tableau

In this module, you’ll get comfortable working inside Tableau Public—the free version of Tableau’s data visualization software. You’ll learn how to connect to your own data, understand the layout of worksheets and dashboards, and begin building visualizations using key features like the Data pane, canvas, and Show Me tab. You’ll also explore how Tableau handles different data types—like measures and dimensions—and how aggregations work behind the scenes. By the end of this module, you’ll be ready to start building charts with confidence using your own datasets.

Resonating With Your Audience

Good data visualization isn’t just about clarity—it’s about responsibility. In this module, you’ll explore how bias can creep into visualizations, even unintentionally, and learn how to design with fairness, ethics, and audience needs in mind. Through real-world examples and a hands-on activity, you’ll practice tailoring a chart for a specific audience, reflecting on how choices like labels, annotations, and context can shape perception. Whether you’re creating for executives, analysts, or the public, you’ll leave this module with strategies to design visualizations that are both impactful and trustworthy.

The Big Picture

In this final module, you’ll put everything you’ve learned into action by creating and publishing your first Tableau visualization. You’ll explore how to select the right chart type for your message—whether it’s a trend line or a comparison bar chart—and how to refine your visuals using annotations, labels, and tooltips. You’ll also learn how to make your dashboards accessible and inclusive by following best practices in visual design and layout. By the end of this module, you’ll be ready to share your work publicly and with confidence.