Data Science: How Do We Get Started? – Part Two

In the first part of this series, I discussed how important it is as a data scientist to ask the right questions when solving a new problem. In this post I will be digging into a specific example relating to the situation when a data scientist is presented with data to explore.

Specifically, we will be looking a dataset from a calling card company that was experiencing issues with fraud. But first, let’s review the key questions that should be answered when beginning any problem like this one.

Author: Scott W. Strong

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s