© Stylianos Kampakis  2020
S. KampakisThe Decision Maker's Handbook to Data Sciencehttps://doi.org/10.1007/978-1-4842-5494-3_9

9. Pitfalls

Stylianos Kampakis1 
(1)
London, UK
 

Now, we’re going to look at some of the pitfalls in the data science process. We’ll go over some of the things that can go wrong when a data scientist is trying to solve a problem. We’re going to start with what you shouldn’t do.

What Not to Do

The first thing you should not try to do is solve a problem by yourself. You might be tempted to try to tell the data scientist what solution you’re looking for, but this is not the right approach and you’ll see why in a moment.

Your job is to discover what the problem is, phrase it, and explain it to a data scientist following the principles ...

Get The Decision Maker's Handbook to Data Science: A Guide for Non-Technical Executives, Managers, and Founders now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.