Is “analytics translator” a title or a skill set? Yes.
Data scientists can’t rely only on assumptions, models, and numbers to understand the choices users make.
The new analytics “superpower” is everywhere. But who should make the transition? And how?
The basic skills you need to be a data scientist may stay the same but the most effective tools are always changing.
No one can go it alone. Good advisors and industry-wide cooperation are needed to advance the field.
From zoology and physics to designing algorithms.
This open-source Python development framework can help you quantify and eradicate unconscious bias in job descriptions.
The working world has different motivations and expectations than your professors did. Read on to learn what being a data scientist is really like.
Not all jobs are posted publicly. Here’s how to find them.
Before you hire a data scientist, make sure you understand the stages of the startup lifecycle. You might not be ready.
Zack Kertcher
