I started a self-taught data science journey 5 years ago.

For most of that time, I let imposter syndrome stop me from sharing my journey in public. But six months ago, I realized I could start on Twitter. Here's what's happened since:

• New job

• 0 to 8k+ followers

• 10+ new data friends

• 1k tweets, 30 threads, and 40 atomic essays

And here's 3 reasons why Twitter is the best place to start learning in public:

Reason #1: It's easy

Compare yourself to veteran data science creators and you'll be intimidated.

Writing a long-form article on Medium → Hard

Filming a 10 minute tutorial on YouTube → Hard

Tweeting once a day → Easy

Start easy to reduce pressure.

Reason #2: It's iterative

Daily tweeting is not a silver bullet solution.

You need to do more if you want to unlock the network, knowledge, and opportunities of your dreams.

But here's what it will give you:

• New ideas

• Self-confidence

• A consistent habit

• Rapid feedback loop

A daily tweet becomes a weekly thread. A weekly thread becomes a monthly newsletter. And a monthly newsletter becomes a full-blown side-project.

Reason #4: It's active

Interesting paradox: most social platforms are not that social.

How often do you see a good conversation in the comments on YouTube, Medium, or GitHub?

On Twitter, you can engage with like-minded folks every day. If you do it for a year, all the people you used to look up to will be your friends.