Problem-Solving Algorithms for Interviews and Competitive Coding

Cracking the technical interview or excelling in competitive programming requires more than just knowing a programming language—it demands a strong grasp of algorithmic thinking. This text-based course helps you transition from writing basic code to designing highly optimized solutions for complex problems. You will master the core algorithmic patterns that interviewers test and competitive platforms demand. By reading clear breakdowns, analyzing curated code snippets, and practicing with structured written exercises, you will build the intuition needed to recognize which algorithm to apply to any given problem. What you'll learn: - Understand foundational algorithmic concepts, Big-O notation, and space-time complexity analysis. - Implement graph algorithms, tree traversals, and dynamic programming patterns using modern, clean code structures. - Apply the two-pointer technique, sliding window, and binary search to optimize search and retrieval operations. - Solve real-world coding challenges with structured step-by-step written walkthroughs. - Write robust algorithmic code using modern type hints and verify correctness using basic testing principles. The course begins with foundational definitions of complexity and basic data structures before moving into advanced patterns like recursion, greedy algorithms, and dynamic programming. Each concept is reinforced with written code implementations and step-by-step explanations of the underlying logic. This course is designed for aspiring software engineers, students, and self-taught developers who have basic programming knowledge and want to prepare for technical interviews or coding challenges. Start reading today to sharpen your problem-solving skills and write highly optimized code.