Have you ever asked yourself how a successful first day as a data analyst looks? To get my Data Science Nanodegree, I will show you a simple scenario.

You will learn:

1. What Cross-Selling is?
2. How to analyze your customers.
3. How to use machine learning for a cross-sell prediction.

Szenario

I got a dataset from Kaggle with the name “Health Insurance “Cross-Sell Prediction 🏠 🏥”. Please, imagine that you are a Data Analyst at a big insurance company. As your first job, your boss asks you to analyze a particular customer dataset. He gives you a customer-info.csv file and the following three questions:

1. What could be a typical customer of our company?
2. What factors determine whether a customer wants to be insured by us or not?
3. Which customers will respond to our marketing campaign?

Unfortunately, as a budding data scientist, you don’t know what cross-selling is, so you google it right away:

“Cross-selling is the action or practise of selling an additional product or service to an existing customer” - Wikipedia 2020

Now you know. You work for a large insurance company that offers comprehensive health protection. The insurance company now wants to expand its product portfolio. Therefore it is your job to find out which customers might be interested in car insurance.

#python #machine-learning #data-science #kaggle #data-analysis