Google Advanced Data Analytics Professional Certificate Capstone Project: Customer Retention Statistical Analysis, Hypothesis Testing, and Machine Learning Modelling (Python)

Background

This is the capstone of the Google Advanced Data Analytics Professional Certificate program offered by Grow with Google via Coursera.

Business scenario:

The Waze navigation app is a popular mobile application that helps users navigate their way around cities. The company has been experiencing a decline in customer retention and wants to understand why this is happening so they can take actionable steps to improve it.

This project is a hypothetical case study that leverages real-world data from Waze to test hypotheses and build machine learning models to predict customer retention.

Components

• Plan, Analyze, Construct, Execute: The Plan-Analyze-Construct-Execute-PACE.pdf document leverages the PACE workflow at Google to structure the analytics project.

Plan is where the project is scoped and the goals are defined. Analyze is where the data is explored, cleaned, and prepared for analysis. Construct is where the hypothesis testing and machine learning models are built. Execute is where the results are communicated to stakeholders through dashboards or reports.

• Activity_Course 2 Waze project lab.ipynb: This notebook contains Python code for exploring the dataset.

Keywords

Hypothesis Testing, Machine Learning, Customer Retention, Product Management, Python, Business Analytics, Dashboards