Bash Conditional Statements for Data Science Workflows

Data processing often requires handling unpredictable data files, checking directories, and automating repetitive cleaning tasks. Knowing how to direct your scripts based on real-time conditions is a superpower that saves hours of manual work. This text-based course teaches you how to write robust Bash scripts that adapt to your data dynamically. You will transition from running single terminal commands to writing intelligent scripts that make decisions, validate inputs, and handle errors gracefully. What you'll learn: - Understand core Bash syntax, exit codes, and foundational conditional logic - Apply if, else, and elif statements to control the flow of your data pipelines - Test file properties, check directory existence, and verify file sizes before processing - Implement case statements for clean, multi-option branching logic - Use logical operators to combine multiple conditions in a single test - Practice defensive scripting techniques to handle missing data or failed commands Starting with basic terminal concepts and conditional syntax, you will progress through practical text-based exercises that simulate real-world data engineering challenges, such as checking for daily data dumps and validating file formats. This course is designed for data scientists, analysts, and researchers who are comfortable with basic terminal navigation and want to automate their workflows. No prior programming or scripting experience is required. Start writing smarter data scripts today.