Customer Behavior you own this product

prerequisites
basic Python • basic PostgreSQL
skills learned
loading data into a database • design and calculate customer metrics • perform quality assurance analytics
Carl Gold
1 week · 12-15 hours per week · INTERMEDIATE
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Look inside
In this liveProject, you’ll clean and process data from Manning’s liveBook platform and prepare it for investigatory analysis to discover causes of customer churn. You’ll load a raw data dump of customer behavior data into PostgreSQL for analysis, categorize and check the event records for bad data, and calculate a basic set of interpretable customer metrics. Some SQL skills and a little Python is all you need to produce a clean and easy-to-interpret data set of customer behavior.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Carl Gold
Carl Gold is the senior data science manager for financial startup Migo.money. He has previously worked as chief data scientist for Zuora, the industry-leading subscription management platform. He has a PhD from the California Institute of Technology.

prerequisites

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:

TOOLS
  • Basic Python
  • Basic PostgreSQL

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