One of my graduate professors said something on the first day of class that stuck with me for years. She said, "All you're doing is learning a series of tools, and 90% of the battle is looking at the data and knowing which tool applies."

She was right. That's all data science is.

You have a toolbox. Right now, maybe it's empty. Maybe it has a few things in it. Your job is to fill it. Not with courses. Not with certificates. With reps.

When I made the switch into data science, I wasn't applying to jobs right away. I wasn't updating my resume. I was going to Starbucks on Tuesdays and Thursdays, pulling my own data, running my own experiments, writing my own code from scratch. I did that for eight months before I even started recruiting.

That was me building my toolbox.

Here's the thing that most people miss: the skill isn't knowing Python or knowing a particular model. The skill is being able to look at a data set and say, "I think I know what we need here." That only comes from doing the work yourself, away from your instructors, away from tutorials.

So if you're wondering whether you're ready, ask yourself: how many tools do you have? And how many of them can you use without looking at the instructions?

That's your answer.

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— Dennis