Module 13: Real-World Projects & Career
Build portfolio projects in churn, forecasting and predictive maintenance, then present them effectively on your resume and GitHub.
How to use this module: follow the lessons in order if the stack is new to you, or jump directly to the topic that matches your project. Each lesson includes runnable examples, references and a downloadable notebook.
Churn Project
Customer Churn Prediction: End-to-End Project
Forecasting Project
Time-Series Forecasting with LSTM & Prophet
Predictive Maintenance
Predictive Maintenance with IoT Sensor Data
Resume & Portfolio
Data Science Resume & Portfolio Guide
Practice strategy
Run the examples locally, change one assumption at a time, and record what changes in output, latency, memory or model quality. For production topics, add one failure test before you call the exercise complete.
Next step
Return to the full Data Science curriculum to continue with the next module.
