Text Data Processing with Regular Expressions

Working with raw text data is a fundamental skill in computing and data analysis. If you struggle to clean up logs, parse reports, or find specific information buried in large documents, this course provides the essential tools you need. This course teaches you how to move beyond simple keyword searching and efficiently manipulate text based on complex patterns and structure. You will gain the confidence to handle any text-based challenge, transforming unstructured data into valuable, actionable information. What you'll learn: * Understand foundational concepts of text structure, including lines, delimiters, whitespace, and character encoding. * Learn essential string manipulation techniques such as splitting, joining, and searching for substrings in text. * Master the core syntax and usage of Regular Expressions (Regex) for defining and matching complex patterns. * Apply advanced Regex features including capturing groups, backreferences, and lookarounds for precise extractions. * Practice extracting structured components like dates, emails, and identifiers from raw logs and reports. * Configure basic methods for text normalization and tokenization, preparing data for analysis pipelines. The course begins with defining basic text components and progresses through practical string methods before deeply exploring the construction and application of Regular Expressions. This is a text-only course designed for absolute beginners with no prior data processing experience. Start practicing the critical skill of pattern matching to unlock the potential of your text data.