Making data relevant
Way back when I was a kid, I loved mathematics. In fact, I loved it so much I went on to get a degree in math, then master's level work in statistics. Much of my early career involved scientific data analysis. So fun, truly.
One thing that drove me nuts was analysis or research that was presented in a way that made it difficult for regular humans to understand. It's almost like putting up a wall between "the elites" and "others". Not cool, for any reason or under any circumstances.
I've worked hard to make technical information accessible - not dumbed down - but explained with clarity. What's the big deal, and why is this important?
I've decided to increase the amount of technical/statistical analysis I'm doing in my work. To get back to my roots, so to speak. In March, I started a year-long professional certificate program in data visualization from the University of Washington. I'm having a blast going back to school and doing homework. Check out some of my Tableau data visualizations from the first half of my academic program.
I've got another few months to go, feel free to reach out with data analysis suggestions. I'm always looking for real-world examples to use in my project assignments.