Hard truth: learning is not inherently fun.

I wasted my undergraduate years partying. So I dedicated myself to finding an exciting field to learn at the graduate level. That's how I found data science. But even with this newfound passion I was bored again within months.

Until this year, when I discovered a framework that made learning more exciting and more efficient at the same time.

The Feynman Technique

The Feynman Technique is based on mastery through teaching.

Step 1: Identify a topic

Mine is data science. More specifically: building valuable products with data.

What's yours?

Step 2: Explain it to a beginner

Teach the subject to articulate your thoughts and clarify your learning.

Hint: Twitter is a vessel to teach at scale.

Step 3: Reflect, refine, and simplify

Any darn fool can make something complex; it takes a genius to make something simple. - Albert Einstein

Step 4: Organize, review, and convey

Once you can convey your expertise to a broad audience, you've reached mastery.

You have your own framework on the topic.

(Bonus) Step 5: Monetize your expertise

Want to make learning in public even more exciting?

Sell your expertise (through courses, coaching, and software) for a true test of your mastery.