Command Line for Data Science and Analysis

Working directly in the terminal enables data practitioners to inspect, filter, and transform large datasets with unmatched speed and efficiency. This text-based course equips you with the practical command-line skills required to streamline data processing tasks and automate your computational workflows. You will read through clear explanations and structured code snippets that explain how to manipulate files, parse structured text, and run automated data scripts directly from the shell environment. What you'll learn: - Understand foundational terminal concepts, standard streams, and pipeline mechanics - Apply core text-processing utilities to search, filter, and reorganize raw files - Master tabular data tools such as csvkit to inspect, convert, and query CSV datasets directly in the terminal - Configure isolated Python virtual environments and manage package dependencies - Practice executing Python data scripts from the command line with custom arguments - Build automated data pipelines that connect shell commands with Python analysis routines The course begins with core terminology, standard stream mechanics, and syntax fundamentals before progressing into specialized data-cleaning utilities and script execution strategies. Designed for beginners and aspiring data analysts, this guide requires no prior terminal experience. Read through the lessons and enhance your data science toolkit today.