EDS Wrap up: Learn, Deliver, Communicate

Thanks for sticking throughout this course—I hope it’s been useful.

So, what’s next?

We close the loop with Lesson #1: Learn better by doing. I’ve shared my hard-won lessons from interviews with experts, observing other data scientists, and my own mistakes. That’s as far as I can go—now, it’s up to you to apply them.

To recap, here are the five lessons.

1. Learn better by doing data science projects
2. Learn more by experimenting and iterating quickly
3. Deliver the right things by working backwards
4. Deliver sustainably by being production-aware
5. Communicate to reinforce learning and scale yourself

Wait, so there’s nothing related to coding or ML? Well, those are important, but I find them more of a minimum bar—as a data scientist, you’re kinda expected to be proficient in them. Also, there’s lots of articles and tutorials on those topics already.

Start applying these lessons today. Have a bias for action and iterate on your learning. Do the exercises you’ve not completed—they’ll help reinforce your learning.

From next week, I’ll send you weekly writing about Effective data science, Productivity, and Growth. You can read past archives here.

I’m rooting for you,

Eugene

P.S., This course was a lot of effort—would appreciate your feedback via this 6-question survey!