Finally, the course tackles the often-neglected art of . Hard-coding file paths, database credentials, or column names is a cardinal sin in automation. DS4B 101-P teaches the use of environment variables, configuration files (YAML or JSON), and object-oriented programming patterns to write scripts that adapt to different environments (development, staging, production). This ensures that a pipeline built on a laptop can be deployed to a cloud server without rewriting a single line of logic.
: Transition from writing scripts to developing reusable Python packages and libraries. Key Modules and Curriculum DS4B 101-P- Python for Data Science Automation
: Communicate findings effectively to stakeholders. Key Skills : Interactive plotting with Plotly . Finally, the course tackles the often-neglected art of
Week 4 — Automation & orchestration