Data Preprocessing and Analytics with Bash and AWK

Raw data is rarely ready for analysis, and loading massive files into heavy applications can slow your workflow to a crawl. Learning to manipulate data directly in the terminal using lightweight command-line tools is a superpower for any data professional. This text-based course guides you through the foundational concepts of shell scripting and text processing, helping you build fast, automated pipelines to clean and analyze data without leaving your terminal. By completing this course, you will transform raw, messy files into structured, clean datasets ready for downstream analysis. What you'll learn: - Understand core terminal concepts, command structures, and standard input/output streams. - Write robust Bash scripts using modern safety practices such as strict mode and structured variables. - Master AWK syntax to filter columns, perform calculations, and format structured data. - Combine command-line utilities using pipes to build powerful data preprocessing pipelines. - Parse and clean real-world data formats, managing missing values and inconsistent records. - Apply modern best practices for handling structured text and automating repetitive data tasks. You will start with the fundamental building blocks of the terminal interface, progress through writing clean Bash scripts, and dive deep into AWK's text-processing capabilities. Each section includes clear written explanations and practical code snippets designed for you to try out in your own local environment. This course is designed for beginners to the command line, data analysts, and aspiring data scientists looking to streamline their workflow. No prior scripting experience is required. Start reading today to unlock the speed and flexibility of terminal-based data analytics.