Analyzing CSV Data with Bash: csvcut, sort, and uniq

Handling large datasets often feels overwhelming when you have to open heavy spreadsheet software just to count status entries. By utilizing the command line, you can process millions of rows instantly, automate repetitive data tasks, and streamline your analytical workflow. This text-based course teaches you how to extract, organize, and count specific data points directly inside your terminal. You will start with foundational command-line concepts, understanding how data flows through streams before moving on to practical command pipelines. Throughout this course, you will learn to parse raw files, sort records efficiently, and extract unique counts to answer real-world data questions. What you'll learn: - Understand how to navigate and process structured text files using the Bash terminal - Extract specific columns from complex datasets using the csvcut utility - Organize raw data systematically using the sort command - Count and group unique status entries with the uniq utility - Combine multiple command-line tools using pipes to build powerful data pipelines - Apply modern data-wrangling workflows to clean and analyze CSV data without heavy external software This course begins with essential terminal terminology and basic file-handling concepts before guiding you through step-by-step practical command construction. You will read clear explanations, analyze command structures, and practice with real-world terminal workflows. This course is designed for absolute beginners, data analysts, and system administrators who want to work faster with data. No prior programming or command-line experience is required. Start mastering the command line and simplify your data analysis workflow today.