Data visualization will be an essential skill for the future. In a world driven by data, the ability to extract insights from data and present them visually can often be your competitive edge.
The problem is, how do you learn it without much coding knowledge?
If you try to learn Data Visualization online, you’ll find instructions for learning specific tools, coding languages, or libraries. But that can be incredibly daunting if you’re not a coder in your daily life, like me.
I’m a UX Design professional who fell in love with the field but didn’t exactly know where to start.
I began my Data Visualization journey with a simple Google search
but ended up exploring the field through the lens of three different professions.
This book spans a year in my life learning Data Visualization. It’s a collection of all the lessons I’ve learned studying Data Visualization across Data Science, Journalism, Psychology, and UX.
Here are some of the lessons you’ll learn in the book:
Understanding what makes a good visualization
How to improve bad data visualization
How to tell a story with your data
Why Data Science and Data Visualization are always paired together
How to condense research into a one-page sketch
How to choose the best chart for your audience
How to improve productivity through visualization
How to create better presentations
How I would recommend you learn Data Visualization
By the end of Data Persuasion, you will understand how to think about the Data Visualization process from start to finish. You’ll be able to structure your data in a way that makes for easy data analysis, understand the power of visuals on human psychology, and tell stories with your data that engage your audience.
