Intro to Advanced Data Visualization

Why It Works and How to Apply Its Techniques

Intro to Advanced Data Visualization training course illustration

In this workshop, you’ll learn how and why data visualization can help you analyze your data more quickly and deeply. You’ll learn a framework for visualization, the Power-Up model, which places essential data visualization techniques into three groups: preparation, density, and exploration. You’ll explore how the purpose of the visualization should drive the choice of elements to add (or subtract). Through an in-depth case study and several short exercises, you’ll examine real-world examples of graphics and dashboards to understand how the Power-Up techniques can be applied to your data.

Data Doesn't Speak for Itself

How to Communicate Clearly Using Data Visualization

Communicate Clearly training course illustration

This workshop is an essential follow-on to our introduction to data visualization, in which you learned how data viz helps you better understand data. In this session, you will learn how to selectively apply those techniques in order to share your findings with an audience. We'll discuss the most important thing you should do before you make a chart, hone in on the most important Power-Ups to consider when communicating data, and point out pitfalls to avoid so you can nail your next data presentation.

Sticky Digits

The Art and Science of Communicating Data

Art and Science of Communicating Data training course illustration

Even when you know the data story you want to tell, it can be challenging to convey it effectively. In this workshop, participants learn a practical and memorable formula for improving how they communicate and present data. In addition, they will learn tips for data presentation that can be applied using common software products like PowerPoint and Excel. Exercises and discussion are integrated throughout the instructional component. Participants engage in individual and group exercises that allow them to practice identifying ways of improving the messaging for the types of data they use.