Coding Interview Prep: Algorithmic Exercises and Problem Solving

Technical coding interviews can feel overwhelming, but success comes down to recognizing patterns and practicing structured problem-solving. This text-based course helps you demystify the coding interview by breaking down complex algorithmic challenges into manageable steps. You will transition from guessing solutions to systematically analyzing problems, choosing the right data structures, and writing clean, efficient code that interviewers look for. What you'll learn: - Understand foundational computer science concepts, including Big O notation, time complexity, and space complexity. - Master essential data structures such as arrays, linked lists, hash maps, trees, and graphs. - Apply common algorithmic patterns like two-pointers, sliding windows, and recursion to solve diverse coding challenges. - Write clean, readable code using modern programming practices like type hints and structured variable naming. - Learn to dry-run your solutions and write basic unit tests to verify correctness before submitting your code. - Analyze edge cases and optimize naive solutions into highly efficient algorithms. The course begins with core terminology and complexity analysis before guiding you through step-by-step written walkthroughs of classic interview problems, helping you build a repeatable framework for any coding challenge. It is designed for beginner to intermediate programmers preparing for technical interviews or looking to sharpen their problem-solving skills. No prior interview experience is required, though a basic familiarity with at least one programming language is recommended. Start reading today to build the problem-solving habits that top companies look for.