What follows is the capstone project of the Pandas for Data Analysis course by Alex Freberg that I attended on Analyst Builder, the online platform.
The entire course was designed for showing how Pandas is useful and powerful when it comes to data analysis and it's also one of my first attempts of using Python for a project.
In this scenario we are working for UFood, a Brazilian delivery app, which aims to mantain its postion as market's leader.
Our goal is to help the marketing team improve the campaigns in order to make them more effective.
In this case I only used Jupyter Notebook on Anaconda, with a little help of Microsoft Excel for having a sneak peak of the data. The entire project was written in Python.
The analysis is focused on two main aspects:
1) Discovering the different behavior of the various categories of customers;
2) Searching for correlations between features of customers;
The final goal of the analysis is to provide useful insights to the marketing team.