Building a Customer Segmentation Tool for a SaaS Scale-up
Overview
What this challenge is about.
Write a Python script to cluster SaaS user data with k-means and output a CSV plus PCA plot. Get a verifiable certificate.
The scenario
TaskFlow is a project management tool with 40 employees, recently raised Series A. They need to personalize outreach to different user segments to boost conversion to paid plans.
The Brief
What you'll do, and what you'll demonstrate.
How can TaskFlow automatically segment its user base to enable targeted marketing and reduce churn?
Earning criteria — what you'll demonstrate
- Use pandas to load and manipulate JSON data into a DataFrame
- Apply data preprocessing techniques (normalization, encoding) for machine learning
- Implement k-means clustering using scikit-learn and determine optimal k via elbow method
- Visualize clustering results using PCA and matplotlib
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Pandas
Apply pandas to solve real industry problems and demonstrate production-level capability.
- Scikit Learn
Apply scikit learn to solve real industry problems and demonstrate production-level capability.
- K Means
Apply k means to solve real industry problems and demonstrate production-level capability.
- Data Preprocessing
Apply data preprocessing to solve real industry problems and demonstrate production-level capability.
- Matplotlib
Apply matplotlib to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: