Coding Interview Patterns: Essential Algorithms and Data Structures

Preparing for technical coding interviews can feel overwhelming with endless problems to solve. The key to success is not memorization, but understanding the underlying patterns that solve entire classes of algorithmic challenges. This text-only course guides you through the fundamental data structures, algorithms, and coding patterns used by top-tier technology companies. You will learn how to identify the right approach for any problem, write clean and efficient code, and explain your thought process clearly. What you'll learn: Understand foundational data structures including arrays, linked lists, trees, and graphs; Implement core algorithmic patterns such as sliding window, two pointers, and depth-first search; Analyze time and space complexity using Big O notation to optimize your solutions; Apply systematic problem-solving strategies to break down complex, unfamiliar questions; Practice writing clean, readable code with modern standards like Python type hints; Learn to dry-run your solutions with structured test cases to catch edge cases early. You will start with key terminology and foundational concepts before moving into step-by-step breakdowns of common interview patterns. Each pattern is explained with clear written walkthroughs, conceptual explanations, and practical code implementations. This course is designed for beginner software engineers, computer science students, and self-taught developers preparing for their first technical interviews, with no prior interview prep experience required. Start reading today to build a strong foundation in technical interview problem-solving.