- Describe the importance of audience and story in designing visual presentations.
- Identify Gestalt principles for visual processing.
- Compare and contrast headline styles.
- List general rules for the use of different chart types, colors, axes, and other formatting details.
- Understand the importance of and scientific basis for guiding principles in presentation design.
Skill Level Intermediate
- [Bill] You already know how to work with and think about data as a data analyst. Naturally, it's part of what you do every day, probably even outside of work. Not only that, I imagine you're big into data visualizations, consuming charts and graphs to glean more insights and pick up nontrivial trends. And maybe you're thinking it's time to leverage the power of these visualizations for your own work, not just to understand your data better, but to communicate it well to those who need answers from it. Hi, I'm Bill Shander, founder of Beehive Media, an information design and data visualization consultancy in Boston. Welcome to my course on data visualization for data analysts. This course is focused on the communications part of data vis. And I'm going to help you get beyond the data and think more clearly and strategically about how to present that data to an audience. We'll cover a bit about the primary challenges we face as communicators in today's world and how to begin to think about solving them. Then we'll go through 10 primary lessons, the most important things to think about when visualizing data for your audience, so you're not simply kicking charts out of Excel, Tableau, Stata, or whatever tool you're using, but rather you're really delivering the best visualization to tell the story you're trying to tell. And I'll share some examples of visualizations to make the theoretical more tangible. I hope you find the content fun and interesting and of course helpful in your day-to-day data analysis practice. Let's get started.