Smart move.

"Review solutions and then solve similar problems, is it really that simple?"

Yeah, it is.

This is how you learn in industry, on the job. And it's the best way to learn how to make an impact.

1. By seeing how others are doing it
2. Learning to do that as well
3. And then generalizing and improving on those solutions to develop your own

The most common advice I've given (and hear others give) to new grads trying to enter the Data Science field or take their impact to the next level once they enter is to:

"Work on real projects with industry experts who know their shit."

But not everyone has access to an expert like this, where they can learn from their code/solutions and then get guidance and targeted problems to help them elevate their own skills. Especially not in a way that enables them to get the breadth of experience across all the critical elements of Data Science.

Until now.

Now you can get experience working on real Data Science problems across the spectrum of major issues facing businesses.

Join The Full Stack Data Science Challenge

After this 14 day challenge, your data science capabilities will improve significantly.

Your ability to ship impactful ML projects, design + analyze experiments, create metrics + dashboards, even communicate with your stakeholders.

All will improve. 

At the end of the challenge, you'll know the recipe for impactful Data Science.

Pre-order now and receive 50% off, or enter your email below to get on the waitlist.