Algorithms for String and Character Data Processing

Working with text is a foundational skill in computer science, underlying everything from simple data validation to search engines and language parsers. This course introduces you to the essential algorithms and data structures designed for character and string manipulation. You will gain a practical understanding of how modern software stores and processes textual data, moving step-by-step from core definitions to robust algorithmic strategies. By studying these concepts, you will build the confidence to solve real-world string processing challenges efficiently. What you'll learn: - Understand character encodings, memory representations, and core string properties - Implement pattern matching algorithms including naive search and advanced matching strategies - Master string hashing, prefix functions, and substring comparison techniques - Apply regular expressions and tokenization to parse structured text inputs - Practice optimizing string operations for memory efficiency and execution speed The course begins with vital terminology, standard string properties, and encoding principles such as UTF-8 and Unicode. From there, you will read structured explanations and code snippets that demonstrate practical algorithmic implementations and optimization patterns. This course is ideal for beginner developers and computer science students looking to strengthen their algorithmic foundation. No prior algorithm experience is required, though basic programming familiarity is helpful. Start reading today to expand your problem-solving toolkit with essential string algorithms.