Text Processing and Data Mining with Sed, Sort, Uniq, and Head

Raw text files often contain valuable insights, but extracting and organizing that data manually is incredibly time-consuming. Learning to manipulate text directly from the command line allows you to process large datasets quickly and efficiently without complex programming languages. This course teaches you how to transform unstructured text into structured, meaningful information using essential command-line tools. You will understand how to isolate specific patterns, count occurrences, and filter results to answer real-world data questions. What you'll learn: Understand core text-processing concepts and command-line data pipelines; Use sed to search, replace, and clean text patterns; Apply sort and uniq to organize data and find unique occurrences; Extract specific data segments using head and tail commands; Build modular Bash pipelines to automate text-mining tasks. The course begins with key terminology and foundational concepts of standard streams and pipelines before guiding you through practical command combinations to clean and analyze text files. This course is designed for absolute beginners to command-line tools, data analysis, and text mining, requiring no prior programming experience. Start learning today and unlock the power of command-line text processing.