Great Graphs: Design Principles (Mini Course)
Our Beginner-Level Mini Course on Dataviz Best Practices
Are your takeaway findings getting lost?
Bad graphs can slow down the viewer's comprehension... increase cognitive load... and fail to inform decision-making processes.
Dusty Shelf Reports aren't inevitable.
With intentional editing, you can design visualizations that inform and inspire.
No fancy software needed.
This is a best practices course, not a software how-to course.
You won't see videos about "First, click this button" and "Then, click this button."
That being said, you've got to use some software program. All the training examples have been made with everyday software you already own, like Excel, PowerPoint, Word, and other low-cost tools.
You don't have to be a computer programmer or a graphic designer to be a great communicator.
Data visualization isn't supposed to feel daunting.
We’ll walk through a step-by-step design process that you can apply to your own projects.
What's included in this course?
I'm going to transform you into the data viz hero that your organization needs. Here's what's included to make that happen.
- 32 video lessons that you can watch anytime (the equivalent of my half-day Great Graphs: Design Principles workshop)
- Discussion boards to ask questions and post your own work
- Weekly emails to cheer you on
- Lifetime access so you don't feel rushed
- Examples from a variety of industries (public health, youth development, education, juvenile justice, museums, and more)
3,912+ participants from around the globe
have already taken the leap into better reports, slideshows, dashboards, and infographics.
Ann K. Emery is an internationally-acclaimed speaker who equips organizations to get their data out of dusty spreadsheets and into real-world conversations.
Each year, she delivers over 100 keynotes, workshops, and webinars with the aim of equipping organizations to visualize data more effectively.
She has been invited to speak in 30 states and 10 countries; 5,400 people have enrolled in her online training academy; and she has consulted to 200 organizations, including the United Nations, Centers for Disease Control, and Harvard University.
She earned a Bachelor’s degree from the University of Virginia and a Master’s degree from George Mason University.
After traveling full-time as a digital nomad, Ann now resides in Florida along with her husband and three children.
"This was just what I needed to move from thinking about to actualizing more digestible visualizations.
The many, many examples--and explanations for how to do more complex transformations--are soooo helpful!
Having so many examples from scientific, education, non-profit and other fields helped me convince my very smart, detailed-oriented colleagues that more appealing, simpler, less jargon-y, and more understandable visualizations are feasible for presenting statistically and technically dense information, and for academic types of audiences.
Now we are trying things like short headline titles and chart styling methods to more clearly depict all the 'data details'—and the findings!—rather than impossibly long, uninformative titles and chart notes… Ann has perfected telling the facts directly with style."
- Peace Bransberger, Research Analyst, Western Interstate
Commission for Higher Education
"I’d been following Ann’s blog for quite some time, but I was eager to get access to additional data viz lessons, so I signed up for the Great Graphs course. Ann’s course played a big role in the improvement of my data visualizations, and most of all made it way more fun. My goal is now to help some of my colleagues improve their data visualizations too, so that our organization can better act on all the data that we’re collecting and achieve more impact.
Some things that I learnt during the course:
Ann reminded me how many different types of stories you can tell with the same data set. This made me aware of the importance of first analyzing your audience and your data, and really think about the message that you want to convey, before starting with the actual visualization of the data. Ann also demonstrated that it can easily take you a few tries before finding the right visualization.
Ann gives you clear steps to follow in your data visualization, which I hope will soon become a routine for me. The many examples that she gives made me realize just how much stronger your message can get if you use the techniques like storytelling, annotations, color, decluttering.
- Sophie van der Wansem, Digital Product Developer, PharmAccess Foundation