Coding Interview Prep: Solving Algorithms and Data Structures

Preparing for technical interviews can feel overwhelming when you do not know which patterns to study or how to approach complex problems under pressure. This text-only course demystifies the technical interview process by breaking down complex algorithmic challenges into repeatable, logical steps. You will transition from guessing solutions to systematically analyzing and solving diverse coding problems. What you will learn: Understand fundamental data structures including arrays, linked lists, trees, and graphs; Apply core algorithmic patterns such as two-pointers, sliding windows, and recursion; Analyze time and space complexity using Big O notation to write optimized code; Implement modern coding best practices including clean variable naming and type hints; Practice debugging techniques to identify edge cases and dry-run your solutions on paper. The course begins with foundational concepts, key terminology, and complexity analysis, then progresses through major data structures and algorithmic patterns with step-by-step written breakdowns. This course is designed for beginner to intermediate programmers, computer science students, and self-taught developers preparing for their first technical interviews, with no prior interview experience required. Start reading today to build your problem-solving intellect and approach your next technical interview with confidence.