Data Pipeline & Python Application
End-to-end data processing workflow with Python
About This Project
This project involves creating a comprehensive data processing pipeline with end-to-end implementation that ingests raw data, cleans it, and feeds it into a basic recommendation engine. The pipeline demonstrates ETL processes, proper version control, and testing methodologies essential for production data workflows.
Core Concepts
- Data ingestion and extraction
- Data transformation and cleaning
- ETL workflow development
- Version control for data pipelines
- Testing methodologies for data applications
- Basic recommendation engine implementation
Key Knowledge/Skills
- Python programming
- Data structures and algorithms
- ETL concepts and tools
- Database integration
- Software development best practices
Coursework Covered
Programming for AI and Data