In this liveProject, you’ll analyze a data set of customers metrics to uncover patterns and behaviors that indicate customer churn. You’ll determine key details like rate of retention, and analyze your data to determine which metrics are associated with customers leaving and customers staying loyal. You’ll analyze how customer behaviors are related to one another, and see if you can expand on your datasets functionality to find new metrics that indicate churn.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
This liveProject is suitable for anyone with a basic background in programming and data analysis, who wants to really make a difference to a business's churn. To begin this liveProject you will need to be familiar with:
- Basic Python
- Basic PostgreSQL
you will learn
In this liveProject, you’ll master practical techniques from wrangling a raw set of data into something usable by your company in fighting churn.
- Create a data set from raw data stored in a database
- Visualize how different customer metrics relate to the outcome of churn
- Analyze how different customer behaviors relate to each other
- Practice scientific thinking to design new customer metrics